# Senior Manager AI/ML Engineering (Flex) at UPS

UPS is hiring a Senior Manager AI/ML Engineering (Flex). It pays $128k-$273k a year and Level rates it Builds AI ●●●●; you can [apply on UPS](https://jobsbylevel.com/go/d3648c4b-f6d4-4928-8542-eb349736a81e?utm_medium=ai-agent).

AI Level 4, AI centrality 93 out of 100. US - UPS CORPORATE OFFICES (GACOR).

## Details

- Company: [UPS](https://jobsbylevel.com/companies/ups)
- AI level: AI Level 4 (score 93 out of 100)
- Location: US - UPS CORPORATE OFFICES (GACOR)
- Salary: $128k-$273k
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/d3648c4b-f6d4-4928-8542-eb349736a81e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-manager-ai-ml-engineering-flex-at-ups-0748db

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-manager-ai-ml-engineering-flex-at-ups-0748db

## Description

Before you apply to a job, select your language preference from the options available at the top right of this page. 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. Job Description: 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. Key Responsibilities 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 multiple business capabilities, personas, and workflows. Determine appropriate use of deterministic workflows, APIs, rules, AI agents, and hybrid approaches based on reliability, performance, explainability, cost, and maintainability. Architect stateful and long-running workflows , including session and context management, checkpoints, retries, idempotency, human-in-the-loop interactions, and recovery patterns. Design and build agentic solutions using LangGraph, LangChain, RAG, APIs, MCP, and other orchestration patterns , including semantic routing, coordinator/supervisor agents, and cross-domain multi-agent orchestration . undefined Deliver domain AI agents for business areas such as payroll, benefits, labor contracts, financial planning, and competitive positioning , including cross-domain questions, scenario modeling, and financial analysis that reduce reliance on spreadsheets and manual reporting. Define secure multi-persona architectures with appropriate authentication, authorization, entitlements, data-access boundaries, and service identities. Architect integrations with enterprise APIs, transactional and legacy systems, SaaS platforms, and data services using REST APIs, Apigee/API gateways, MCP, messaging, and event-driven patterns . Define application data, semantic retrieval, vector search, and knowledge architecture patterns using appropriate relational, graph, vector, and search technologies, including ontology design and federated knowledge graphs (e.g., Stardog) that ground agent responses in governed enterprise data. Define non-functional requirements for scalability, availability, performance, resiliency, security, maintainability, recoverability, and cost efficiency . Design cloud-native architectures on Google Cloud Platform (GCP) using services such as Vertex AI, GKE, Cloud Run, AlloyDB, BigQuery, Pub/Sub, and Eventarc. Establish patterns for AI observability, distributed tracing, LLM evaluation, accuracy benchmarking, monitoring, Responsible AI, and operational readiness , including

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-manager-ai-ml-engineering-flex-at-ups-0748db

Source: https://jobsbylevel.com/jobs/senior-manager-ai-ml-engineering-flex-at-ups-0748db

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-manager-ai-ml-engineering-flex-at-ups-0748db.

Get job alerts: https://jobsbylevel.com/newsletter