Senior Agentic AI Engineer

SAP•Stanford, CA

1d•$131,000 - $222,700•Hybrid

About The Position

SAP is looking for a Senior Agentic AI Engineer to join the BTP Product Management Regional Implementation Group (RIG), a hands-on team focused on bringing the latest SAP innovations into real customer environments. In this role, you will work directly with customers across the Americas to design and implement production-intent solutions using SAP Business AI Platform, specifically Joule Studio 2.0 and related services. These projects sit at the intersection of engineering, product innovation, and customer collaboration, helping early adopters turn new technologies into working applications. You will contribute to building AI-enabled applications, intelligent automation solutions, and modern cloud services, while also helping shape SAP’s products through direct feedback from real-world implementations. If you enjoy hands-on development, working closely with customers, and experimenting with emerging technologies such as AI agents and intelligent workflows, this role offers a unique opportunity to have both technical and product impact.

Requirements

University degree in Computer Science, Software Engineering, or related field; 4+ years of software development experience building and shipping production systems, with increasing responsibility over time.
Recognized go-to developer for complex technical challenges on your team.
Strong full-stack engineering fundamentals. Comfortable building frontend experiences, backend services, APIs, and data integrations, and know how to make them work together.
Proficient in backend languages (Python, Node.js, Java, or Go) and modern frontend frameworks (React, Angular, Vue, or UI5).
Comfortable with Docker, cloud-native development (AWS, Azure, GCP, or SAP BTP), API design, DevOps & CI/CD pipelines.
Practical AI expertise: generative AI, LLM orchestration, prompt engineering, RAG patterns, and agentic architectures. Have built and delivered AI-powered solutions.
Experience building agents using modern frameworks and protocols (MCP, A2A, LangGraph, CrewAI, or similar).
Understanding LLM production concerns: grounding, guardrails, latency, cost optimization, and observability.
Familiarity with knowledge graphs, vector stores, relational databases, and embedding pipelines.
Ability to work independently, set up own priorities, and take full ownership of deliverables from start to finish.
Strong collaboration and communication skills. Build partnerships with cross-functional teams (product, engineering) to translate business problems into working software.
A cloud-first mindset, able to work effectively in a globally distributed, cross-cultural environment.
Passionate about continuous learning and turning ambitious AI ideas into production-grade solutions.

Nice To Haves

Experience developing on SAP BTP / SAP Build / Joule or working with SAP AI Core.
Internal candidates with SAP technology expertise who are eager to apply it to AI-enabled scenarios.

Responsibilities

Work with customers across the Americas to design and implement production-intent solutions on SAP Business AI Platform, with a focus on AI-enabled scenarios including custom agents, intelligent applications, and intelligent workflows such as n8n.
Collaborate closely with your product manager, development architect, and customer technical teams to design and implement solutions using the latest SAP capabilities.
Translate business requirements into scalable architectures and support customers as they adopt new technologies.
Stay current on SAP’s latest product releases and platform capabilities, evaluating their suitability for customer use cases and helping assess architectural approaches, implementation strategies, and technical trade-offs.
Contribute structured product feedback based on real customer engagements, partnering with SAP Product Management and Architecture teams to help improve product capabilities and developer experience.
Assist in creating sample implementations, reference architectures, configuration examples, and developer enablement materials that help internal teams and future customers adopt new SAP technologies more easily.