Senior Full Stack (AI Engineering: Agents & Skills) - SAP Datasphere

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.

Job Summary
We are looking for a Senior Full Stack Engineer with a strong AI Engineering focus to join the Datasphere team within SAP Business Data Cloud (BDC). You will work on the DAC (Data Access Control) component — the enforcement layer that governs who can access what data within Datasphere, operating at row and column level across the BDC governance stack.

Mission
Evolve the DAC component of SAP Datasphere from a rule-based enforcement layer into an intelligent, agentic governance engine — one that proactively assists, automates, and adapts data access control at BDC scale, aligned with SAP’s Autonomous Enterprise strategy.

The mission is to bring DAC into the agentic era: moving beyond static policy enforcement toward AI-driven governance that understands enterprise data context, reduces operational overhead, and delivers explainable, auditable access control — with production-grade quality, reliability, and security.

Tech Stack

• Backend / Frontend: Node.js, TypeScript, React
• AI Runtime: SAP Joule with OpenAI API (GPT models)
• Agent tooling: MCP servers, tool calling, enterprise API integrations
• Observability: Custom SLOs for quality, latency, cost, and reliability

Responsibilities

• Lead end-to-end implementation of critical backend and frontend features.
• Build APIs, integrations, and automation flows for DAC-specific scenarios: access policy management, authorization enforcement, and governance operations within Datasphere.
• Design, build, and evolve AI agents and skills that automate governance tasks, assist DAC administrators, and bring intelligent decision-support to data access control operations.
• Define technical standards for observability, security, quality, continuous evaluation, and reuse.
• Lead definition of agent metrics and SLOs (quality, latency, and reliability).
• Define fallback strategy, controlled degradation, and runtime failure handling.
• Establish a continuous improvement cycle for prompts, tools, and execution policies with versioning.
• Support short-term architectural decisions without compromising long-term evolution, aligned with SAP’s Autonomous Enterprise strategy and the DAC agentic roadmap.
• Operate with technical autonomy, mentorship, and close collaboration with PM, architecture, and stakeholders.

Mandatory Requirements

• Proven seniority as a full stack engineer.
• Strong backend experience with Node.js and TypeScript.
• Strong frontend experience, preferably React and TypeScript.
• Solid experience with APIs, service integration, authentication, authorization, and security — including familiarity with ABAC or RBAC models.
• Proven experience building AI agents and skills in real product contexts.
• Practical experience with tool calling, flow orchestration, and agent integration with enterprise systems.
• Ability to define guardrails, quality criteria, and evaluation strategies for agents.
• Experience operating AI solutions in production, including observability and continuous improvement.
• Proven experience evaluating agents in production (offline and online), including evaluation datasets and acceptance criteria.
• Experience making quality-latency-cost trade-off decisions for AI operations, with defined targets and continuous monitoring.
• Experience with RAG, grounding, and retrieval strategies with relevance evaluation.
• Experience with incident response, root-cause analysis, and resilience patterns for production agents.
• Strong practice with automated testing, versioning, CI/CD, and production troubleshooting.
• Clear communication to discuss technical trade-offs with both technical and non-technical teams.

Nice to Have

• Experience with MCP servers and agent tool architecture.
• Experience with controlled experimentation (A/B, canary, progressive rollout, and rollback).
• Familiarity with Python for consuming and adapting AI frameworks and SDKs (e.g., OpenAI SDK, SAP AI Core/Joule integrations).
• Experience with SAP Datasphere, HANA, BTP, IAS/IDP, SAP Joule, or similar enterprise context.
• Knowledge of audit trails, compliance frameworks, and data governance regulations.
• Experience in B2B data products and multi-team environments.
• Track record designing pluggable architecture to reduce rework in uncertain roadmaps.
• Knowledge about Knowledge Graph is a plus.

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, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

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: 454093 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid