SAP SE
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 Palo 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.
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.
Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards 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 141,700 - 294,700 (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 this 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.
Requisition ID: 440649 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
Job Segment: Logistics, Supply Chain, Supply Chain Manager, Computer Science, Supply, Operations, Technology
#J-18808-Ljbffr
This is a hybrid role based out of Palo 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.
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.
Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards 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 141,700 - 294,700 (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 this 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.
Requisition ID: 440649 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
Job Segment: Logistics, Supply Chain, Supply Chain Manager, Computer Science, Supply, Operations, Technology
#J-18808-Ljbffr