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United Parcel Service, Inc. is seeking a Senior Manager AI/ML Engineering to lead the design, development, and production delivery of enterprise AI applications across finance and HR domains, including payroll, benefits, labor contracts, and financial planning.
The role emphasizes hands-on work with LangGraph, LangChain, GCP, and knowledge graphs, complemented by deterministic workflows and APIs when suitable.
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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
THIS POSITION IS HYBRID AND WILL REQUIRE CANDIDATES TO WORK IN THE FOLLOWING UPS IT LOCATIONS: NEW JERSEY, ATLANTA, MARYLAND, AND KENTUCKY OFFICE 3 DAYS A WEEK
We are seeking a highly skilled Senior Manager AI/ML Engineering to lead the design, development, and production delivery of enterprise AI applications incorporating Generative AI, agentic AI, cloud-native technologies, and enterprise systems . This role supports an enterprise business intelligence platform that delivers domain AI agents across finance and HR areas such as payroll, benefits, labor contracts, and financial planning , coordinated through cross-domain orchestration and an ontology-driven knowledge graph. The ideal candidate combines strong engineering and architecture fundamentals with hands-on experience building AI-powered solutions using technologies such as LangGraph, LangChain, GCP, RAG, MCP, knowledge graphs, and modern observability frameworks . This role requires the ability to determine where AI adds value and where deterministic workflows, APIs, rules, and traditional application patterns provide the better solution.
Lead end-to-end AI/ML engineering across frontend, backend, AI/agent layers, orchestration, integrations, data, and cloud services, and mentor a team of AI/ML and software engineers.
Define scalable, reusable architecture patterns supporting