AI Product Engineer Lead – End-to-End, User-Centric

EY; Chattanooga (TN); Hybrid; USD 126,000 - 262,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Flexible vacation policy

Hybrid work model

Travel up to 50%

Job summary

EY is hiring an engineer to turn emerging AI capabilities into durable products. You’ll own end-to-end slices across user experience, services, data, AI behavior, and enterprise integrations, with a founder-like ownership mindset.

The role emphasizes testable prototypes, secure services, and rapid learning in a hybrid office setup across the US. You will work in the Challenger program, in cross-functional teams, shaping AI behavior and ensuring useful, safe, accessible outcomes while controlling

Qualifications

• Seven+ years of relevant and applicable experience.
• Bachelor’s Degree in a relevant field of study.
• End-to-end delivery: taking software from concept to launch and adoption.
• Technical breadth across frontend, backend, API, data, and cloud technologies.
• Applied AI experience with large language models, retrieval, tools, or similar patterns.
• Evaluation experience with automated testing and behavioral evaluation for probabilistic systems.
• Live-service ownership including telemetry, debugging, incident response, and performance improvement.
• User-centered practice with collaboration with users, designers, and product leaders.
• Engineering craft with clear specifications, maintainable code, and sound trade-offs.
• This role requires up to 50% travel and hybrid office attendance.

Responsibilities

• Start with the user and understand real workflows with domain experts.
• Test assumptions quickly using concise specifications, prototypes, and small releases.
• Own complete product slices spanning experience, services, data, AI behavior, and enterprise integrations.
• Shape AI behavior with design instructions, context, retrieval, and structured outputs.
• Build the evidence system with representative tasks and automated evaluations.
• Instrument user journeys to relate adoption and outcomes to system behavior and cost.
• Engineer for responsible use with clear permission boundaries and secure data handling.
• Own production quality by releasing incrementally and monitoring live behavior.
• Make practical trade-offs balancing experience, quality, speed, reliability and cost.
• Share proven components and evaluation assets while ensuring performance.

Skills

Full-stack engineering

AI application depth

Product judgment

Evaluation discipline

Production ownership

High-agency collaboration

Education

Bachelor’s Degree in a relevant field

Job description

EY is hiring an engineer to turn emerging AI capabilities into durable products. You’ll own end-to-end slices across user experience, services, data, AI behavior, and enterprise integrations, with a founder-like ownership mindset.

The role emphasizes testable prototypes, secure services, and rapid learning in a hybrid office setup across the US. You will work in the Challenger program, in cross-functional teams, shaping AI behavior and ensuring useful, safe, accessible outcomes while controlling