AI-First Product Engineer Leader

EY; Fort Worth (TX); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY invites applications for a senior engineering role focused on turning emerging AI capabilities into durable products. You will work as an end-to-end builder, close to users, product decisions, and production code, connecting the pieces that turn AI demonstrations into real services.

The role demands founder-like ownership, rigorous testing of assumptions, and a bias toward accessibility, maintainability, and simplifying when evidence requires it. Hybrid work and travel up to 50% are expected.

Qualifications

• 7+ years of relevant and applicable experience.
• Bachelor’s Degree in a relevant field of study.
• End-to-end delivery: taking software from concept through launch and adoption.
• Strong full-stack capability across frontend, backend, API, data, and cloud.

Responsibilities

• Start with the user: understand real workflows with users and domain experts.
• Test assumptions quickly: turn hypotheses into prototypes and releases.
• Own complete product slices across experience, services, data, and integrations.
• Shape AI behavior: design instructions, context, retrieval, and tool use.
• Build the evidence system with automated evaluations of usefulness, correctness, accessibility.
• Instrument journeys to relate adoption to system behavior, latency, and cost.
• Engineer for responsible use: clear permissions, secure data handling, graceful degradation.
• Own production quality: release incrementally and monitor live behavior.
• Make practical trade-offs: balance experience, quality, speed, reliability, cost.

Skills

Full-stack engineering

AI application depth

Product judgment

Evaluation discipline

Production ownership

High-agency collaboration

Education

Bachelor’s Degree

Job description

EY invites applications for a senior engineering role focused on turning emerging AI capabilities into durable products. You will work as an end-to-end builder, close to users, product decisions, and production code, connecting the pieces that turn AI demonstrations into real services.

The role demands founder-like ownership, rigorous testing of assumptions, and a bias toward accessibility, maintainability, and simplifying when evidence requires it. Hybrid work and travel up to 50% are expected.