SAP
Principal Generative AI Engineer – SAP
Join SAP’s Business Network as a high‑impact technical leader who designs autonomous supply‑chain agents capable of reasoning, planning, and exception handling. This hybrid role is based in Palo Alto, CA: 3 days onsite, 2 days remote.
Responsibilities
Lead the technical architecture for large‑scale AI applications and design high‑scale system components.
Design and implement multi‑agent systems that enable autonomous reasoning, planning, and execution.
Hands‑on coding: actively contribute to critical components, build greenfield proofs of concept (PoCs), and guide them to production, setting standards for code quality and MLOps best practices.
Collaborate with Product Management to assess technical feasibility and translate complex business requirements into robust technical designs.
Mentor senior and specialist developers, conduct design and code reviews, and foster a culture of engineering excellence.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering or a related technical field.
10+ years of professional software development experience.
5+ years of experience designing and architecting large‑scale distributed systems or cloud‑native applications (e.g., on AWS, GCP, Azure, or SAP BTP).
5+ years of technical leadership (e.g., Staff Engineer, Tech Lead, Architect) driving technical decisions.
5+ years of applied AI experience, including 1+ years with Generative AI techniques such as large language models, retrieval‑augmented generation, and agentic workflows.
Preferred Qualifications
Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
Deep understanding of neurosymbolic AI, reasoning engines, and the ability to ground LLM outputs using formal logic or constraints.
Experience designing and implementing knowledge graphs (RDF, property graphs) to power retrieval (GraphRAG) and reasoning systems.
Hands‑on experience with agentic frameworks (e.g., LangChain, LangGraph), prompt engineering, and context management.
Domain knowledge of supply‑chain management, procurement processes, or logistics data models.
Compensation Range Target combined range for this position is $192,500 – $420,000 (USD). Actual offer will be within this range, dependent on education, skills, experience, scope of the role, location, and performance.
Equal Employment Opportunity SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, and related), sexual orientation, gender identity or expression, protected veteran status, or disability.
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Responsibilities
Lead the technical architecture for large‑scale AI applications and design high‑scale system components.
Design and implement multi‑agent systems that enable autonomous reasoning, planning, and execution.
Hands‑on coding: actively contribute to critical components, build greenfield proofs of concept (PoCs), and guide them to production, setting standards for code quality and MLOps best practices.
Collaborate with Product Management to assess technical feasibility and translate complex business requirements into robust technical designs.
Mentor senior and specialist developers, conduct design and code reviews, and foster a culture of engineering excellence.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering or a related technical field.
10+ years of professional software development experience.
5+ years of experience designing and architecting large‑scale distributed systems or cloud‑native applications (e.g., on AWS, GCP, Azure, or SAP BTP).
5+ years of technical leadership (e.g., Staff Engineer, Tech Lead, Architect) driving technical decisions.
5+ years of applied AI experience, including 1+ years with Generative AI techniques such as large language models, retrieval‑augmented generation, and agentic workflows.
Preferred Qualifications
Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
Deep understanding of neurosymbolic AI, reasoning engines, and the ability to ground LLM outputs using formal logic or constraints.
Experience designing and implementing knowledge graphs (RDF, property graphs) to power retrieval (GraphRAG) and reasoning systems.
Hands‑on experience with agentic frameworks (e.g., LangChain, LangGraph), prompt engineering, and context management.
Domain knowledge of supply‑chain management, procurement processes, or logistics data models.
Compensation Range Target combined range for this position is $192,500 – $420,000 (USD). Actual offer will be within this range, dependent on education, skills, experience, scope of the role, location, and performance.
Equal Employment Opportunity SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, and related), sexual orientation, gender identity or expression, protected veteran status, or disability.
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