Apply Now (Senior) Data Engineer (f/m/d): RDF Knowledge Graphs and Generative AI Date: 06/08/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll do At SAP, we're integrating state-of-the-art AI technology with our industry-specific data and deep process knowledge to innovate across SAP products & services. Agentic AI based on Large Language Models (LLMs) is transforming how users interact with their business applications. Still, the understanding of structured and unstructured business data such as business data models, business process metadata and documentation is limited in pre-trained LLMs, challenging using agents at scale and for complex tasks. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to provide Knowledge Graphs (KGs) as key differentiators to address LLM challenges like hallucination and compliance, as well as enable the development of the foundation models on structured data to deliver distinctive generative AI solutions to our customers. The Role •    Unique opportunity to build the data foundation for SAP’s Knowledge Graphs – the source of explicit knowledge across multiple SAP domains. •    Design and build robust data pipelines that ingest, transform, and load structured and unstructured business data (including SAP data) into RDF Knowledge Graphs at scale. •    Map source data into ontologies and SHACL schemas, develop SPARQL-based transformations, and operate triple stores in production alongside Knowledge and Data engineering teams and stakeholders. •    Collaborate closely with domain specialists and data owners to understand source systems (SAP and non-SAP) and translate their requirements into reliable Knowledge Graph data flows and provisioning. •    Make critical design decisions on the data engineering stack – triple stores, ETL/ELT tooling, orchestration, and integration with downstream Generative AI applications. •    Contribute to thought leadership at the intersection of Data Engineering, Knowledge Graphs, and Generative AI. •    Present, discuss, and explain how high-quality Knowledge Graph data can benefit business use cases, and proactively propose new cases to relevant stakeholders. What you bring •    PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics or other relevant disciplines. •    2+ years of related professional experience with a strong background in Data Engineering, ideally including working with Knowledge Graphs in a business context. •    Experience designing and operating large-scale data pipelines (batch and streaming) using modern data engineering tooling. •    Deep working proficiency in the RDF Knowledge Graph technology stack (RDF, RDFS, OWL, SHACL, SPARQL) and hands-on experience operating triple stores - familiarity with property graph solutions (e.g., Neo4j) is a plus. •    Experience mapping business operations and source systems into clear data models, ontologies, and organized schemas. •    Working knowledge of the current triple store ecosystem (commercial and open-source, e.g., GraphDB, Stardog, Virtuoso, Apache Jena, Blazegraph) and Enterprise Knowledge Graph architectures. •    Awareness of latest trends at the intersection of Data Engineering, Knowledge Graphs, and LLMs – e.g. KG construction from unstructured data, graph RAG, KG embeddings. •    Solid command of SQL, modern data warehousing/lakehouse concepts, and cloud data platforms (e.g., AWS, GCP, Azure, Databricks). •    Experience in Data Engineering with a hands-on approach to solving data challenges. •    Fluent in Python and the ability to convert your ideas into productive code. •    Ability to advise diverse stakeholders on how to bring their data into an enterprise Knowledge Graph and apply it to business use cases. •    Knowledge of SAP data and SAP applications – their data models, business objects, and extraction interfaces – is strongly preferred. •    Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams. Meet your team SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally. #SAPBusinessAICareers #LI-KH1 ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 442515  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better and improve people’s lives. Find us on

Apply Now Forward Deployed Data Scientist Expert (f/m/d) Date: 05/29/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build: In this role, you design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex, business critical problems. Embedded directly within customer environments and fast-moving delivery teams you translate strategic and operational challenges into rigorous analytical solutions to solve complex real world business problems at speed. You work closely with customers to deliver scalable, enterprise grade outcomes that drive measurable business value for customers and SAP. You are accountable for the quality, impact, and delivery of complex analytical initiatives. Acting as a subject‑matter expert, you provide clear guidance, manage ambiguity, and ensure data‑driven solutions are robust, reliable, and aligned with business objectives. In this role, you will: - Transform complex business challenges into data‑driven intelligence by identifying high‑value problems, framing them analytically, and engineering robust features and insights. - Design, develop, train and implement mathematical models, algorithms, and data mining or machine learning solutions to solve complex business problems. - Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning. - Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise‑grade scalability and robustness. - Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision‑makers. - Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate. - Communicate insights, trade‑offs, and recommendations effectively to cross‑functional teams and customer stakeholders, influencing decisions through evidence and expertise. - Work in an embedded, customer‑facing setup, collaborating closely with customer teams on‑site or in the customer environment to deeply understand their data, applications, and business context, and to co‑develop and deliver impactful data‑ and AI‑driven solutions. What you bring: - Expert‑level proficiency in data science and machine learning, with strong command of Python and SQL and the ability to design, validate, and optimize end‑to‑end analytical and ML solutions. - Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes. - Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation. - Proven experience applying a wide range of machine learning techniques (e.g. classification, forecasting, clustering, recommendation systems, anomaly detection, balancing accuracy, robustness, interpretability, and usability at scale. - Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions. - Experience delivering production‑ready analytics and ML systems using modern data platforms, with a strong focus on data quality, governance, and reusability. - Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive‑ready insights. - Design and implement robust end-to-end data pipelines and ETL/ELT processes, leveraging big data frameworks (e.g., PySpark, Databricks), modern storage formats (Parquet, Delta Lake), and real-time streaming technologies (Kafka or similar). - Apply strong expertise in data modelling, system integration, and orchestration (e.g., Airflow), with hands-on experience in enterprise platforms such as SAP HANA, ensuring scalable and efficient data architectures. - Ensure high-quality, governed, and compliant data workflows by integrating CI/CD, Docker, and Git practices, while proactively leveraging AI in day-to-day processes to enhance productivity, context-aware design, and output quality. Where you belong: - You will be part of a growing AI and industry expert team dedicated to serving customers across the region (Americas, Europe, Asia). We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. - This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape. - We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy—not just produce analysis. We value sharp thinking, business curiosity, and clear communication. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 453813  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid #LI-ILR ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better(...) Die Stellenbeschreibung kann nicht vollständig angezeigt werden. Bitte folgen Sie dem u.a. Link 'Weitere Informationen zum Stellenangebot im Internet'

Apply Now Forward Deployed Data Engineer Expert (f/m/d) Date: 05/29/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you’ll build In this role, you design, build, and operate scalable data pipelines and platforms that enable analytics, reporting, and advanced data driven use cases embedded directly within customer environments and fast-moving delivery teams. You translate business and analytical requirements into robust, maintainable data solutions and ensure that data is reliable, secure, and accessible across the organization. You work closely with customers and combine cloud native software engineering, enterprise data engineering, and production grade AI capabilities to solve complex real world business problems at speed. You are accountable for the technical quality, scalability, and business impact of delivered solutions within customer engagements. You operate at the intersection of engineering, data, AI, and customer delivery, collaborating closely with product, architecture, ML, and customer teams to accelerate adoption of AI driven enterprise solutions while maintaining alignment with SAP engineering and security standards. In this role, you will: - Design, develop, and maintain scalable data pipelines and data models that support analytics, reporting, and AI use cases. - Integrate data from multiple internal and external sources, ensuring data quality, consistency, and reliability across the data landscape. - Build and optimize data processing workflows using modern data platforms and cloud based technologies. - Ensure data solutions meet enterprise requirements for performance, security, governance, and compliance. - Embed directly into customer projects and fast moving cross functional teams to rapidly understand business processes, technical landscapes, and operational challenges. - Collaborate with data scientists, analysts, and product teams to translate analytical requirements into efficient data engineering designs. - Monitor, troubleshoot, and improve data pipelines and platforms to ensure operational stability and continuous improvement. - Capture reusable patterns, accelerators, and product improvement opportunities from customer engagements, contributing back to engineering standards, frameworks, and best practices across teams. - Contribute to engineering standards, best practices, and reusable components to increase efficiency and maintainability What you bring - Strong experience in data engineering, including the design and implementation of scalable data pipelines and data models. - Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes. - Proficiency in SQL and at least one programming language commonly used in data engineering (e.g. Python). - Experience working with modern data platforms and cloud‑based data technologies (e.g. data warehouses, data lakes, distributed processing frameworks). - Solid understanding of data quality, data governance, and data lifecycle management in enterprise environments. - Ability to translate business and analytical needs into robust technical data solutions. - Strong collaboration and communication skills, with the ability to work effectively across technical and non‑technical teams. - Design and build scalable ETL/ELT pipelines, robust data models, and integrated enterprise data systems using modern lakehouse architectures (Parquet, Delta Lake) and platforms such as SAP HANA, Databricks, and big data frameworks (PySpark). - Develop and manage batch and real-time data pipelines leveraging workflow orchestration tools (e.g., Airflow) and streaming technologies such as Kafka to ensure reliable, efficient, and high-performance data processing. - Ensure data quality, governance, compliance, and PII protection while implementing CI/CD pipelines and applying best practices with Docker and Git within data engineering workflows. Where you belong - You will be part of a growing AI and industry expert team dedicated to serving customers across the region (Americas, Europe, Asia). We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. - This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape. - We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy—not just produce analysis. We value sharp thinking, business curiosity, and clear communication. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 453884  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid #LI-ILR ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better and improve people’s lives. Find us on

Apply Now Forward Deployed Data and Applied Science Chief Expert (f/m/d) Date: 05/29/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you’ll build In this role, you define and lead complex, high impact data science and applied AI initiatives that translate business strategy into scalable analytical solutions while embedded directly within customer environments and fast-moving delivery teams. You combine cloud native software engineering, enterprise data engineering, and production grade AI capabilities to solve complex real world business problems at speed. Acting as a trusted technical authority and strategic advisor, you guide senior stakeholders and cross functional teams from problem framing through delivery and measurable value realization. Your work directly influences enterprise level decisions by applying advanced modeling, machine learning, and AI techniques to the most complex and business critical challenges across customer and internal contexts. You set direction, standards, and best practices for excellence in data and applied science. You will: - Own the delivery of complex, multi-dimensional data science and applied AI programs aligned with business strategy and financial objectives. - Act as the chief technical authority for advanced analytics, machine learning, and applied AI across domains, setting standards for quality, rigor, and scalability. - Design, oversee, and govern advanced data models, algorithms, and ML/AI systems, ensuring enterprise-grade robustness and real-world impact. - Translate ambiguous, strategic business challenges into clear analytical approaches, success metrics, and decision frameworks. - Partner with senior business, product, and engineering leaders to influence strategy, roadmaps, and investment decisions through data-driven insights. - Embed directly into customer projects and fast moving cross functional teams to rapidly understand business processes, technical landscapes, and operational challenges. - Represent SAP externally as a recognized expert, building trusted relationships and strategic partnerships with customers and stakeholders. - Mentor and guide senior data scientists, fostering innovation, technical excellence, and professional growth across the community. - Lead strategic, customer-facing engagements by partnering with senior stakeholders to shape high-value AI and data science initiatives and drive the co-creation and delivery of enterprise-scale solutions with measurable business impact. What you bring - You demonstrate a proactive approach to leveraging AI in everyday workflows, ensuring high‑quality outputs through thoughtful context design and system integration. - Deep expertise in data science, applied statistics, and machine learning, with end-to-end ownership from problem framing through deployment and value measurement. - Proven ability to lead and govern complex, business-critical initiatives in high-ambiguity, high-impact environments. - Proven ability to work in an Agentic AI context, shaping and applying AI agents that act autonomously within defined boundaries, collaborate with human stakeholders, and deliver measurable business outcomes in customer-centric environments. - Strong command of modern analytics and ML technologies, including advanced modeling, large-scale data processing, and AI-driven approaches (e.g. NLP, generative AI). - Exceptional stakeholder communication and advisory skills, with the ability to influence and guide senior executives. - Recognition as a thought leader or "go-to" expert in data and applied science, both internally and externally. - Expertise in designing scalable end-to-end data pipelines and ETL/ELT architectures - Strong expertise in enterprise data modelling, orchestration, and system integration - Advanced proficiency in Python and SQL for large-scale data engineering - Hands-on experience with PySpark, Databricks, and distributed data processing - Expertise in workflow orchestration using Airflow and similar platforms - Strong experience with SAP HANA and enterprise-grade data platforms - Proficiency in lakehouse and columnar storage technologies such as Parquet and Delta Lake - Experience implementing real-time streaming architectures using Kafka or equivalent technologies - Strong focus on data quality, governance, compliance, and PII management - Expertise in applying CI/CD, Docker, and Git within modern data engineering workflows Where you belong You will be part of a growing AI and industry expert team dedicated to serving customers across the region (Americas, Europe, Asia). We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape. We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy—not just produce analysis. We value sharp thinking, business curiosity, and clear communication. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 453960  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think bi(...) Die Stellenbeschreibung kann nicht vollständig angezeigt werden. Bitte folgen Sie dem u.a. Link 'Weitere Informationen zum Stellenangebot im Internet'

Apply Now Development Manager Optimization, Quantum & AI (m/f/d) Date: 05/18/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you’ll do: Enterprise software is shifting from passive process infrastructure to active decision infrastructure. SAP is pioneering autonomous enterprise decision systems that combine optimization science, quantum computing, and artificial intelligence to help organizations navigate complexity and execute under real-world constraints. The Development Manager Optimization, Quantum & AI will lead the transformation of an established data science team into a strategic contributor to SAP’s autonomous decision infrastructure. You will manage a team with ten years of experience in classical analytics and guide their evolution toward building decision-capable systems that evaluate, optimize, orchestrate, and execute under dynamic constraints. This role requires dual leadership: transforming team capabilities while leveraging deep domain expertise to accelerate impact. You will bridge classical data science with decision infrastructure—moving from descriptive analytics to prescriptive systems, from model building to architecture design, and from standalone insights to integrated execution platforms. As transformation progresses, the team’s scope will expand across SAP’s entire application portfolio, positioning them as the core engine of SAP’s Autonomous Enterprise with Quantum Brain. The Role: • Lead the technical transformation of an established data science team toward autonomous decision systems, building capability in optimization algorithms, constraint-based problem solving, and hybrid computational architectures. • Integrate your team into the broader Optimization, Quantum & AI organization as strategic contributors to decision infrastructure, fostering collaboration with optimization engineers, quantum researchers, and AI architects. • Develop team expertise in quantum computing concepts and identify opportunities where quantum-enhanced solutions create enterprise value. • Build understanding of orchestration systems, execution layers, and enterprise integration requirements—positioning the team within agent layers, optimization solvers, and operational platforms. • Maintain productivity during transformation, delivering measurable improvement in decision quality, planning speed, or operational performance while building new capabilities. • Assess individual readiness, create personalized development plans, and manage performance honestly—recognizing growth, supporting struggles, and making difficult decisions about team composition. • Collaborate with architects and product managers to translate business requirements from diverse domains—supply chain, finance, HR, procurement, customer operations—into decision architecture challenges, positioning the team to become the core engine for SAP’s Autonomous Enterprise with Quantum Brain across the entire application portfolio. What you bring: • Leadership experience in software development with proven track record leading teams through significant capability shifts or technology transitions (5+ years). • Well-honed people management skills with demonstrated success in upskilling teams, introducing new methodologies, and delivering results during organizational change. • Technical credibility in data science, optimization, or systems engineering sufficient to earn respect from practitioners and engage in architectural discussions. • Experience integrating teams into broader technical organizations and breaking down silos between specialized functions. • Understanding of how software systems operate in complex enterprise environments across multiple business domains. • Ability to work in a multi-domain environment, crossing technical, academic, research, and business boundaries—with vision to expand team scope across SAP’s entire application portfolio. • Excellent communication, negotiation, and presentation skills with ability to translate vision into concrete action. • Highly professional and structured working style with capacity to manage complex stakeholder networks. • Ability to thrive in dynamic environments that cross organizational boundaries while maintaining delivery accountability. • Degree in Computer Science, Mathematics, Physics, or related field; strong willingness to immerse oneself in optimization, quantum computing, and decision architecture is essential. Meet your team: You’ll join SAP’s Optimization, Quantum & AI organization—a team redefining what enterprise systems can do. We’re architecting decision-capable infrastructure where optimization science, quantum computing, and artificial intelligence converge into deployable systems. This team will become the core engine of SAP’s Autonomous Enterprise with Quantum Brain, expanding across the entire application portfolio. We operate with clarity about what matters: decision quality, system reliability, deployment credibility, and governance. If you want to lead teams through genuine transformation where constraints are real and strategic impact is organization-wide—this is your opportunity. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 453522  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Management  | Employment Type: Regular Full Time or Part-Time  | Additional Locations:  #LI-Hybrid ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better and improve people’s lives. Find us on

Apply Now Development Expert (m/f/d) - - Identity & Trust Services, SAP Cloud Infrastructure Date: 04/24/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll do: - Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that connect them. - You'll develop solutions using Go, OpenStack, and Kubernetes, tackling problems like: How do you auto-scale thousands of containers across regions? How do you build resilient storage systems? How do you design APIs that handle massive traffic spikes? - Your work will power SAP's production systems and thousands of customer environments. You'll contribute to infrastructure that enables organizations to run mission-critical applications with the performance and reliability they expect from leading cloud platforms. - In your role as Development Expert, you'll guide engineering teams building SAP Cloud Infrastructure through effective agile practices and delivery methodologies that enable rapid, reliable delivery of enterprise cloud services. You'll establish frameworks that help teams efficiently tackle complex distributed systems challenges while maintaining the quality and reliability standards expected by thousands of customer environments. - Your expertise will shape how cross-functional teams coordinate to build hyperscaler-grade capabilities, implementing agile practices that support innovation in multi-region networking, container orchestration at scale, and storage systems that handle massive traffic spikes. You'll facilitate collaboration across teams working with Go, OpenStack, and Kubernetes to ensure effective delivery of production systems that compete with leading cloud platforms. - Working within SAP Cloud Infrastructure, you'll design and implement agile processes that accelerate the development of enterprise cloud services that provide European data sovereignty. Your guidance will enable teams to deliver mission-critical systems that serve SAP's global customer base, directly contributing to how European organizations maintain control over their data while accessing world-class cloud capabilities. What You Bring: - Expert Programming:  Deep expertise in  Go, Python  or similar languages, with a strong focus on  distributed systems, security-sensitive services , and cloud-native architecture; experience with Rust is a plus but not required. - Cloud & Infrastructure Knowledge: Advanced knowledge of OpenStack, Kubernetes, Docker, AWS, Azure, GCP with experience in microservices and event-driven architecture, along with infrastructure automation concepts. - Identity & Authentication Knowledge:  Strong background in  identity and authentication systems  or the  foundations of Trust Services  in cloud environments. Practical experience with technologies such as  OIDC, OAuth 2.0, SAML ,  OpenStack Keystone ,  Keycloak , or comparable IAM components is highly valued. - Technical Curiosity:  Strong interest in  authentication flows, identity lifecycles, trust relationships, and security architecture , with the motivation to continuously deepen expertise in  IAM, cryptography, and cloud trust models . - Technical Leadership:  8+ years of software development experience with a proven track record of contributing to or leading architectural decisions across teams in complex, distributed environments. - Trust Services & Cryptography (Benefit):  Experience with  Trust Services  such as  PKI, certificate management, private CAs , or secure key handling is a strong plus. Familiarity with  PKCS#11 ,  HSM devices , or hardware-backed key management solutions is beneficial but not mandatory. - Scale & Performance:  Experience designing and operating systems that handle massive traffic, multi-region deployments, and highly available, resilient distributed architectures. - Security and Compliance:  Solid understanding of  security principles and compliance requirements , with experience incorporating regulatory, risk, and trust considerations into system and architectural design. - Cultural Adaptability:  Experience working across cultures and languages, combined with strong communication skills for collaboration within diverse, distributed teams. - Soft Skills:  Excellent presentation, communication, and problem-solving skills; a structured, accurate, and self-driven working style; high level of commitment and reliability; readiness to work in a constantly evolving environment; enthusiasm for collaborating in a multinational team. Meet your team: You'll join PlusOne Central Engineering, where innovation meets collaboration. Our culture values engineering excellence, continuous learning, and diverse perspectives. We emb modern practices, support career growth, and maintain work-life balance while building enterprise-scale solutions that drive digital transformation. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 440943  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better and improve people’s lives. Find us on

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future. Our global Clinical Operations colleagues within our PPD® clinical research services provide end-to-end support for clinical trials from study start up to monitoring through to study close out, across commercial and government contracts. Together, we help clients define and develop clinical programs, minimize delays, and execute high-quality, cost-efficient clinical studies. The PPD FSP Solution: PPD's Functional Service Provider division partner with and serve as an extension of our PPD team, supporting our customers key functions. We cover customer needs on every level, allowing them to do more with less, with an uncompromising commitment to quality. We deploy the same top-tier talent in ALL engagement models. Exceptionally trained, rigorously supported and technologically empowered to help customers manage capacity and set programs up for success. Joining within our PPD FSP functional area, allows you to join the renowned PPD CRO and still gain invaluable client dedicated experience. Discover Impactful Work: Accountable for achieving the final clinical deliverable (usually clean data from evaluated patients as specified in the study protocol) within the time period specified in the contract with the customer. Interprets data on project issues and makes good business decisions with support from experienced team members or line manager. Works to ensure that all clinical deliverables meet the customer's time/quality/cost expectations. Maintains profitability by ensuring clinical activity is conducted within contract scope, through efficient management of the clinical team. Typically works on projects of low to moderate complexity and as part of a team of CTMs. A day in the Life: - Leads the local study team consisting of within-country clinical operations team members, cross-functional experts (medical, regulatory, supply logistics, finance, legal, etc.), vendor staff, and external clinical site staff involved in study preparation and delivery providing both matrix leadership and project management of study activities within the country(ies). - Serves as the operational point-of-contact between the central study team and within-country(ies) study team. The LDL collaborates closely with local medical and regulatory affairs staff to align local medical and scientific requirements. As required, collaborates with the local and above-country teams for conducting study feasibility and site selection within country(ies). Leads selection of sites within country(ies) and is accountable for local study performance. - Accountable for within-country delivery of assigned studies to time, budget, and quality expectations as defined in the clinical development plan and study protocol as well as in local/regional regulations, IND/GCP/ICH-guidelines, and procedures. Ensures quality and integrity of clinical studies by taking on appropriate business management monitoring activities. - Ensures development and maintenance of country study plan and that critical study timelines related to study activities within-country(ies) are accurately forecasted and achieved, including budgets, resource estimates, milestones, timelines, quality and risk planning, and that recruitment targets, patient recruitment cycle times, data, and audit/inspection quality are met. Provides troubleshooting and problem resolution support for within-country study team to ensure productive, efficient study delivery. Ensures necessary supplies are available at sites and manages local supply inventory. - Accountable for the accuracy of study systems, including completeness of the trial master file, and reporting study delivery progress to study team and key stakeholders and to specify and review in-country study monitoring tracking tools, monitors key risk and performance indicators, and other reports. Review all study databases to ensure 100% accuracy. - Ensures development of country/site-level risk assessment to proactively identify risks, develop a mitigation plan, and escalate issues and risks that may impact study delivery. - Will review and approve monitoring visit reports and ensure appropriate site monitoring activities have been completed per the study monitoring plan. - May provide feedback on performance, capabilities, and competencies of local study members to line management. - Has the accountability to create and manage study budgets (budget updates, expenditures including site payments across a study) and estimate, track, and deliver against the local budget for the studies within their scope of responsibility. As required, advises support/develops and negotiates on contract development with Sites/CRO/Vendors ensuring legal input where required and may participate in budget/contract negotiations with study vendors or clinical investigator sites. As required, selects & manages local vendors in accordance with local practices & in alignment with overall resourcing strategy for the study; accountable for local vendor management including oversight, agreements, payments, communications & issue management. - Manages the development of key study documents, plans & manuals according to local requirements (monitoring plan, local informed consent form, import/export licenses, etc.). May provide input into the study concept, protocol, logistics, and may coordinate other expert local input. As required, may arrange accurate translations of key study documentation into the local language. - As required, prepares the local Informed Consent Form and coordinates the submission of the Clinical Study Application to Regulatory Authority (RA) and local Ethics Committees (ECs). Maintains communication with RA and ECs to ensure all regulatory requirements are met in a timely manner throughout the study. May also be accountable for Regulatory Authority submissions and approvals. - Acquires and maintains an appropriate level of knowledge on the study compound, protocol, pathology of the disease area being studied, competitive landscape within country(ies), local treatment/immunization guidelines, and local health care system requirements, as well as study protocol training and all study-related activities. Participate continuously in relevant training courses to improve personal/professional skills. - As required, assists with audits/inspections of local clinical operations department and study/sites in the country(ies). May act as a point of contact for regulatory/compliance audits of assigned study(s); provides input into LOC and site assessment/audit proposals and delivers country response & follow-up to assessment/audit reports. - Continuously develops and keeps up-to-date knowledge in the areas of GCP, internal company guidelines, SOPs, new monitoring, site, and project management skills and capabilities. Responsible to identify and share standard processes. - Open to travel as needed for the role. - Ensures appropriate training of in-country staff and investigator sites; coordinates & delivers operational aspects at local study meetings including investigator meetings, monitor meetings, and local training. - Escalates resourcing issues to ensure that in-country study activities are appropriately resourced. - Ensures robust communication and engagement with sites, e.g., timely communication of protocol amendments. - Reviews and approves Monitoring Visit Reports (MVRs) for their study(s) within agreed timelines to obtain an understanding of current site status. - Ensures ongoing management and reporting of study-specific safety issues and safety report handling, as required (including SAE reporting). - Coordinates/contributes to end-of-study/program learning debriefs and identifies areas for improvement. - Interact and collaborate with country study staff and staff from other functions as needed (e.g., Medical, legal, finance, etc.). - Communicate and work effectively with medical staff/(...) Die Stellenbeschreibung kann nicht vollständig angezeigt werden. Bitte folgen Sie dem u.a. Link 'Weitere Informationen zum Stellenangebot im Internet'

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Location: Walldorf, Berlin, Eschborn, Gerlingen, Hamburg, Garchingen (near Munich), Dresden, Ratingen, Hannover Where you belong: The Business Data Platforms & Strategy team is a high-performing group of data and transformation experts dedicated to delivering SAP’s most innovative frameworks and solutions to customers across the region of MEE. Our team sits at the intersection of business strategy, technology, and customer success—driving SAP’s vision for the future of data and analytics. We empower customers to unlock the full value of their data by leveraging SAP’s Business Data Cloud, Clean Core principles, and cloud transformation methodologies. By fostering collaboration, innovation, and a customer-centric mindset, we ensure that SAP’s transformative capabilities translate into measurable business impact. What you'll build: As a Principal Consultant, Business Data Strategy & Advisory, you’ll lead customer engagements to bring SAP’s transformative frameworks for Business data to life at SAP’s customers. Reporting to the Head of Business Data Strategy & Advisory your role will focus on thoughtleadership, fostering collaboration, and achieving customer success. Key responsibilities include: - Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts - Advise on the implementation and optimization of reporting and planning solutions with SAP Business Data Cloud from requirements analysis and technical design to implementation - Transform and modernize existing reporting and planning systems and integrate BusinessAI with the needed high quality data - Take on program and project responsibility and support in presales activities - Deepen and expand customer relationships through competent consulting and solution-oriented approaches What you bring: - Strategic Visionary and Trusted Advisor: Deep expertise in Data & Analytics and data platform architectures, concepts and business impacts, with a strategic view that aligns with SAP’s vision and cloud methodologies like RISE or Clean Core. Proven ability to align technology and business strategies for impactful customer outcomes. - Experienced data & analytics transformation Leader: Several years of experience in Data & Analytics architecture and business transformation, with a track record of inspiring customers, driving collaboration, and delivering high-impact solutions. Proven track record of delivering large scale data & analytics programs / projects in the SAP environment. - Customer-centric and Change-Oriented: Strong focus on customer success and extensive experience leading large-scale transformations. Skilled in change management to ensure digital adoption and measurable value for clients. Must-Have Requirements: - SAP data & analytics Expertise: In-depth knowledge of SAP’s Data & Analytics portfolio (SAP Datasphere, SAP Analytics Cloud, SAP BW) and  frameworks and the correlation with SAP BusinessAI, SAP RISE incl.  Clean Core principles and SAP BTP. - Strategic Relationship Building: Strong networking skills within SAP and externally, with the ability to build trusted relationships with leaders, including CIOs and CTOs. - Change Management & Customer Success: Proven success in guiding impactful digital transformations and leading change management initiatives to support adoption. - ECO System: Strong ecosystem with the Data & Analytics space in SAP (Development, Sales, Enterprise Architecture) and outside (partners, 3rd party vendors) to foster ideas, capabilities and approaches to provide impact at customers side and having trusted feedback loops into the SAP organization to further evolve products and concepts. - Cross Industry Expertise / Exposure: cross industry expertise with a deep knowledge in at least one industry to build relevant Use Cases for Business data platforms - Excellent communication skills in both German and English Nice-to-Have Requirements: - Innovation & AI Expertise: Experience integrating AI and emerging technologies to drive transformation goals and enhance customer adoption. - S/4HANA & Business Transformation Expertise: S/4HANA and business transformation knowledge to identify optimization & innovation potentials in customer engagements - Industry Certifications: Relevant certifications, such as SAP Certified Architect or others, with recognition as a thought leader in enterprise architecture. - Advanced Change Management Skills: Expertise in advanced change management practices, with a history of driving engagement and complex organizational change. What we offer: This role provides a unique opportunity to shape SAP’s global architecture strategy. You will: - Impact SAP’s Future: Lead transformative projects that define SAP’s strategy and drive customer success. - Collaborate with Industry Leaders: Work alongside global teams, SAP executives, and strategic customers on high-value transformations. - Career Growth Opportunities: Enjoy a clear path to advancement with opportunities for specialization or leadership within SAP’s ecosystem. - Inclusive Work Environment: Experience a flexible environment fostering continuous learning, professional development, and innovation. Join us in shaping SAP’s future and driving the enterprise architecture vision for our customers worldwide. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program (https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en) , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process (https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US) . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 441104  | Work Area: Consulting and Professional Services  | Expected Travel: 0 - 60%  | Career Status: Professional  | Employment Type: Regular Full Time or Part Time   | #LI-Hybrid Ergänzende Informationen: Anforderungen an den Bewerber: Expertenkenntnisse: SAP S/4HANA, SAP ERP

We're on the lookout for a Mid-Level AI Systems Engineer who bridges AI engineering and MLOps. Someone who loves getting hands-on with LLMs, agents, and RAG pipelines, and who cares just as much about what happens once a model reaches production as about building it in the first place. In this role, you'll design, build, deploy, and operate production-grade AI systems, with a strong focus on generative AI, LLM-based applications, and reliable machine learning operations. In practice your time is split roughly between 60-70% AI Engineering and 30-40% MLOps.

In this role you sit at the intersection of engineering and operations, working across teams and disciplines. You'll report to the Head of ML at Sagacify and collaborate with the wider Sagacify and Craftzing delivery organisation. A role that can naturally grow towards a Team Lead position over time.

What you'll do :

AI Engineering (60-70%)

• Orchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces
• Develop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs
• Build and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers
• Evaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias)
• Deploy and scale solutions with strong attention to latency, security, reliability and cost efficiency
• Keep an eye on the ecosystem for new models, frameworks and techniques, including open-source tools such as LangChain, LangGraph, Langfuse, etc.
• Perform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively

MLOps (30-40%)

• Build and maintain automation for model deployment, including CI/CD pipelines and automated testing
• Continuously monitor model performance in production, including drift detection and quality metric tracking
• Manage updates of libraries, models, and related dependencies in production environments
• Ensure versioning, reproducibility and safe rollout of models and AI services
• Collaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery
• Stay current with the latest MLOps practices, tools and platform components

You stay in the code, you stay curious about what happens after deployment, and you keep learning as you go.

• You have 3 to 5 years of experience in AI/ML engineering or related fields
• You have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine-tuning approaches
• You have strong problem-solving ability and algorithmic creativity
• You communicate clearly with both technical and non-technical stakeholders
• You have a team spirit and enjoy collaborating across multiple roles
• You bring rigour, responsiveness and a good incident-handling mindset
• You're autonomous, curious, and quick to learn new tools
• You can communicate fluently in Dutch, English and French, or at least the first two languages

Don’t worry if you don’t tick every single box, what matters most is the right mindset and a drive to learn. If you think we’re a match, we’d love to hear from you.

Jouw verantwoordelijkheden1. Leiding & teammanagement

• Aansturen en coachen van een team van ±10 medewerkers
• Coördineren van taken binnen order entry, transportplanning, klachtenbehandeling, receptie en webshop
• Zorgen voor duidelijke communicatie en samenwerking binnen het team

2. Customer Service Management

• Waken over een correcte en tijdige verwerking van klantorders
• Opvolgen en verbeteren van service levels en klanttevredenheid
• Optimaliseren van processen rond orderverwerking en transport
• Professioneel behandelen en opvolgen van klachten
• Fungeren als aanspreekpunt voor klanten en interne stakeholders

3. Warehouse & logistiek

• Eindverantwoordelijkheid voor het magazijn en de operationele werking
• Coördineren van transportplanning en leveringen
• Regelmatige afstemming met productie om leverbetrouwbaarheid te garanderen
• Onderhandelen en afsluiten van contracten met transporteurs
• Nauwe samenwerking met Sales, Productie en Supply Chain
• Oplossen van operationele issues waar nodig

Jouw profiel

• Bachelor of Master diploma
• Minstens 10 jaar relevante ervaring in customer service, logistiek en/of warehouse management
• Aantoonbare ervaring in people management
• Sterk analytisch en procesmatig denkvermogen
• Hands-on, oplossingsgericht en besluitvaardig
• Uitstekende communicatieve vaardigheden
• Ervaring met ERP-systemen (bij voorkeur Business Central) is een plus
• Proactieve mindset en sterke verantwoordelijkheidszin