Senior AI Engineer
SAPAbout the role
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.
This is a hybrid role based out of Palt Alto. Hybrid is 3 days a week on-site, 2 days a week remote.
Summary:
With over 3.6 million connected companies, the SAP Business Network powers global commerce. We are moving beyond simple automation to build autonomous supply chain agents capable of reasoning, planning, and exception handling.
This is a hands-on role for a Senior AI Application Engineer to drive the design and implementation of intelligent agents that bridge unstructured data with structured business logic. You will work with the latest advancements in Generative AI to build production-grade systems that solve real-world supply chain problems.
Responsibilities:
- Component Design & Implementation: Own the end-to-end design and implementation of specific AI subsystems. You will translate high-level architectural vision into scalable, efficient, and maintainable code.
- Build Agentic Workflows: Develop and optimize autonomous agents using modern frameworks
- Production Engineering: Write clean, testable, and efficient code to implement highly available AI services
- Data & Integration: Implement data pipelines that feed our reasoning engines. You will integrate vector databases and knowledge graphs with SAP’s core business applications to ground AI responses in enterprise reality
- Conduct thorough code reviews and mentor junior engineers on best practices in software design and AI engineering
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Engineering or a related technical field
- 7+ years of professional experience in software development
- 3+ years of experience building and deploying distributed systems, microservices, or backend APIs (e.g. REST, gRPC, GraphQL)
- 3+ years of applied AI experience (e.g. NLP, Machine Learning) including 1+ years of hands-on experience with Generative AI techniques like Large Language Models, RAG, Agentic Workflows
Preferred Qualifications:
- Master’s degree in Computer Science, Artificial Intelligence, or a related field
- Hands-on experience with agentic tools (e.g. LangChain, LangGraph) and Vector Databases
- Familiarity with graph databases (e.g. Neo4j) or query languages (Cypher, SPARQL) to support GraphRAG implementations
- Domain Knowledge: Familiarity with Supply Chain Management, procurement processes, or logistics data models
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
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