Chief Machine Learning Engineer Experience Generation Team

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

About the Team
The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research & Planning (strategic plans from enterprise market data) Experience Builder (AI-forged dashboards and micro-apps) and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business grounded in governed enterprise data and brand standards.

Our platform blends a React/ frontend a Python FastAPI backend orchestrating LangGraph sub-agents and a Gardener-managed Kubernetes runtime. With Postgres Cassandra HANA Cloud vector engines and SAPs Generative AI Hub for model governance we provide an enterprise-grade substrate for controllable scalable AI workflows.

What Youll Do

As a ChiefMachine Learning Engineer youll be a technical leader helping architect scale and harden SAPs next generation of generative AI services. Youll drive both design and implementation of ML pipelines orchestrators and agentic workflowsturning foundational model research into secure production-ready enterprise solutions

Key Responsibilities

• Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP Experience Builder and Visual Services.

• Lead technical design discussions mentor junior engineers and set engineering standards for reliability and scale.

• Evaluate fine-tune and integrate foundation models (text multimodal diffusion) through SAPs GenAI Hub and third-party providers (e.g. Amazon Bedrock).

• Design evaluation frameworks and dashboards for quality safety and enterprise trust in generative outputs.

• Partner with product teams to define roadmaps and deliver features that serve Sales Marketing Finance HR and beyond.

• Collaborate with cross-functional SAP AI teams on shared infrastructure governance and interoperability.

• Stay at the forefront of ML/AI trends and bring best practices into the teams architecture and execution.

Ideal Qualifications

• 12 years of professional experience in machine learning engineering software engineering or applied research roles.

• Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.

• Strong background in ML/AI including large language models embeddings RAG and/or multimodal generation.

• Hands-on experience with cloud-native infrastructure (Kubernetes AWS/Azure) and modern data stores (Postgres Cassandra vector DBs).

• Proven track record of delivering production AI systems at scale.

• Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.

• Experience mentoring engineers and shaping engineering culture.

Why Join Us

At SAP Chiefengineers have the chance to define architecture and strategy for some of the worlds most impactful enterprise AI services. Youll shape how businesses plan build and visualize with AIwhile working with a collaborative team trusted cloud platforms and the latest foundation models. Your leadership will ensure SAPs AI innovations scale securely reliably and responsibly

#SAPAICareers #SAPAIAPP

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
SAPs 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:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity age gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability.

Compensation Range Transparency: SAPbelieves the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAPs commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 274300 - 609200 (USD) actual amount to be offered to the successful candidatewill be within that range dependent upon the key aspects of each case which may include education skillsexperience scope ofthe role location etc. as determinedthrough theselection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

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.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 441539 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid