# Lead AI/ML Engineering (Flex) at UPS

UPS is hiring a Lead AI/ML Engineering (Flex). It pays $109k-$231k a year and Level rates it Builds AI ●●●●; you can [apply on UPS](https://jobsbylevel.com/go/b4fcadb0-a09f-4c09-99aa-d4fc2234be85?utm_medium=ai-agent).

AI Level 4, AI centrality 91 out of 100. US - UPS CORPORATE OFFICES (GACOR).

## Details

- Company: [UPS](https://jobsbylevel.com/companies/ups)
- AI level: AI Level 4 (score 91 out of 100)
- Location: US - UPS CORPORATE OFFICES (GACOR)
- Salary: $109k-$231k
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/b4fcadb0-a09f-4c09-99aa-d4fc2234be85?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-ai-ml-engineering-flex-at-ups-b445e6

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/lead-ai-ml-engineering-flex-at-ups-b445e6

## 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 This position provides technical and delivery leadership for teams developing enterprise AI, analytics, and intelligent software solutions. The role leads the design, development, integration, and production deployment of capabilities that combine generative AI, machine learning, enterprise data, analytics, and agentic technologies to solve complex business problems and accelerate decision-making. The position partners across Business, Product, Architecture, Engineering, Data Science, and Data Engineering to translate business needs into scalable, secure, and reusable solutions. The role establishes engineering patterns and best practices for AI orchestration, data integration, evaluation, testing, observability, security, and production operations. This position serves as a technical lead and subject matter expert, drives adoption of modern AI and software engineering practices, leads complex initiatives from concept through production, and mentors engineering talent. Responsibilities Leads the design and implementation of enterprise AI, analytics, and intelligent software solutions across cloud and distributed environments. Translates complex business problems into scalable solutions using generative AI, agentic AI, machine learning, analytics, and automation . Leads development of AI agents and intelligent applications, including LLM integration, orchestration, retrieval-augmented generation (RAG), semantic retrieval, enterprise data, and tool integration . Establishes reusable architectures, frameworks, engineering patterns, and components that accelerate delivery across business domains and use cases. Collaborates across Business, Product, Architecture, Engineering, Data Science, Data Engineering, UX, and Security to deliver enterprise AI capabilities. Leads integration of structured and unstructured enterprise data into AI, analytics, and machine learning solutions. Evaluates and applies appropriate AI and ML technologies, balancing generative AI, predictive modeling, traditional machine learning, and deterministic approaches based on business requirements. Establishes AI evaluation and testing practices for grounding, accuracy, relevance, reliability, performance, regression testing, and production monitoring . Leads adoption of cloud-native architectures, APIs, data pipelines, and integration patterns supporting scalable AI and analytics workloads. Champions responsible and secure AI practices, including data governance, identity and access, privacy, traceability, auditability, and appropriate human oversight. Drives engineering excellence through CI/CD, DevSecOps, MLOps/LLMOps, automated testing, observability, deployment automation, and production operations . Leads complex technical initiatives, manages dependencies and risks, resolves technical roadblocks, and provides technical guidance across project teams. Partners with business and product stakeholders to prioritize capabilities based on business value, scalability, reuse, and measurable outcomes. Acts as a technical leader and mentor, developing engineering talent and promoting modern AI and software engineering practices. Qualifications 8+ years of experience across the Software Development Life Cycle (SDLC) designing, building,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/lead-ai-ml-engineering-flex-at-ups-b445e6

Source: https://jobsbylevel.com/jobs/lead-ai-ml-engineering-flex-at-ups-b445e6

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