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:

Own end-to-end delivery of AI capabilities that improve customer outcomes and internal productivity across Value Advisory, SAP Customer Success and SAP broadly. You’ll lead solution design, prototype quickly, and productionize responsibly - spanning architecture, hands-on engineering, and cross-functional leadership (Product, CS Ops, Security/Compliance, platform teams).

What you’ll do

Own problem spaces: Translate ambiguous business problems into AI solution architectures, success metrics, and roadmaps; drive concept → pilot → production with light oversight. Architect & build: Design secure, reliable services for LLM/RAG, retrieval, and automation workflows; ship APIs and microservices with strong observability and maintainability. LLM/RAG delivery: Select models/embeddings and vector storage; design chunking/indexing, prompting/tool use/agents; instrument evaluations and A/Bs to track quality and ROI. Platform & ops: Containerize services, automate CI/CD, and partner with platform teams (SAP BTP/AI Core) for scale, cost efficiency, and enterprise compliance. Integrate with SAP landscape: Build integrations with SAP data/products (e.g., S/4HANA, SAP HANA Cloud/SAP Datasphere, SuccessFactors, CX) and CS tooling. Responsible AI by design: Embed privacy, security, data governance, and auditability throughout the lifecycle. Amplify the team: Mentor peers/interns, review designs/PRs, publish templates and SDKs that raise the engineering bar. Communicate impact: Define KPIs/OKRs, instrument outcomes, and clearly communicate trade-offs to technical and non-technical stakeholders.

What you bring:

Track record: Demonstrated success delivering LLM/RAG applications and internal APIs adopted across teams; comfortable owning features end-to-end in production. Programming: Advanced Python; strong API engineering (FastAPI or similar) and practical full-stack integration (e.g., React) when needed. AI/ML: Hands-on with LLMs (prompting, agentic workflows, retrieval), embeddings, and evaluation workflows; solid grounding in PyTorch/HF/scikit-learn and data tooling (Pandas, W&B). Data & systems: SQL (PostgreSQL) and streaming/batch data processing experience; Docker and Git for day-to-day DevEx. Cloud: Experience deploying on one or more of Azure, GCP, or SAP BTP; familiarity with cloud-native services and microservice architectures. Collaboration: Evidence of cross-functional work (product, stakeholders) and mentoring junior engineers/interns.

Preferred qualifications

SAP ecosystem: Experience with SAP BTP (AI Core/Launchpad) and integrations with SAP apps/data. IR/RAG depth: Hybrid search, metadata strategies, and rigorous offline/online evaluation harnesses for LLM systems. SRE/MLOps: CI/CD for ML/LLM services; observability (metrics/logs/traces); basics of K8s and infrastructure-as-code (Terraform) are a plus, not a gate. Security & compliance: Exposure to secure SDLC, secrets management, data privacy, and enterprise governance. Analytics & experimentation: A/B testing and experiment design to quantify impact. Developer enablement: Internal SDKs, templates, or reference apps that accelerate reuse.

How we’ll measure success

Business impact: Improvements to CS metrics (e.g., time-to-insight, case resolution, deflection, productivity hours returned). Adoption & reuse: Cross-team API/feature adoption; internal DAUs/MAUs for AI workflows. Operational excellence: Service reliability (SLOs), latency/cost per request, and incident hygiene. Quality & safety: Evaluation scores, red-team findings resolved, and policy compliance.

 

Meet your team:

Join the SAP Value Advisory organization, a key driver of SAP’s go-to-market strategy, dedicated to helping customers achieve measurable business and societal value through SAP’s industry-leading innovations. As part of the Global Value Advisory team, you will contribute to scalable, impactful customer engagements worldwide by leveraging strategic projects, innovative tools, and cross-regional collaboration. In this role, you will also lead the end-to-end delivery of AI capabilities, driving solution design, rapid prototyping, and responsible productionization to enhance customer outcomes and internal productivity across SAP, while collaborating with cross-functional teams, including Product, CS Ops, Security/Compliance, and platform teams

 

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, 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: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s 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 120100 - 204300(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection 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: 436350  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid