AI-Driven Product Engineer Lead

EY; Tulsa (OK); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off options

Flexible vacation policy

Job summary

EY is leading a Challenger program that builds next‑generation AI-enabled services. You’ll turn AI concepts into durable products, working close to users, decisions, and production code.

The role emphasizes ownership, rapid experimentation, and responsible use across a complete product slice, with hybrid office access and travel up to 50% to collaborate with firm-wide teams. We seek engineers who combine breadth with hands-on AI delivery, capable of shipping across frontend, backend, data, and

Qualifications

• 7+ years of relevant and applicable experience.
• Bachelor’s Degree in a relevant field of study.
• End-to-end delivery: A record of taking customer- or employee-facing software from an unclear concept through launch, learning, and adoption.
• Technical breadth: Strong full-stack capability across modern frontend, backend, API, data, and cloud technologies, demonstrated through shipped work.
• Applied AI experience: Hands-on experience building products with large language models, retrieval, tools, or comparable AI application patterns.
• Evaluation experience: Evidence of automated testing and behavioral evaluation for systems with variable or probabilistic outputs.
• Live-service ownership: Demonstrated responsibility for telemetry, debugging, reliability, incident response, recovery, and performance improvement.
• User-centered practice: Experience working directly with users, designers, and product leaders to turn evidence into better product decisions.
• Engineering craft: A consistent record of clear specifications, maintainable code, thoughtful review, and sound technical trade-offs.
• This role requires up to 50% travel and flexibility to go into the office in a hybrid capacity.

Responsibilities

• Start with the user. Work directly with users and domain experts to understand real workflows, observe friction, and identify where AI can create distinctive value.
• Test assumptions quickly. Turn product hypotheses into concise specifications, prototypes, and small releases that generate useful evidence early.
• Own complete product slices. Build coherent verticals across the experience, services, data, AI behavior, and enterprise integrations rather than optimizing a single layer.
• Shape AI behavior. Design instructions, context, retrieval, structured outputs, and tool use, choosing adaptation or tuning only when evidence supports it.
• Build the evidence system. Create representative tasks and automated evaluations that show whether the product is useful, correct, safe, accessible, and improving.
• Connect outcomes to behavior. Instrument user journeys so the team can relate adoption and task success to system behavior, latency, failures, and cost.
• Engineer for responsible use. Build clear permission boundaries, secure data handling, human checkpoints, graceful degradation, recovery, and rollback into the experience.
• Own production quality. Release incrementally, monitor live behavior, respond to incidents, and turn failures into durable product and engineering improvements.
• Make practical trade-offs. Balance experience, quality, speed, reliability, and cost, using deterministic software when it is the more dependable choice.
• Contribute reusable patterns. Share proven components and evaluation assets with the broader platform while remaining accountable for their performance in the product workflow.

Skills

Full-stack engineering

AI application depth

Product judgment

Evaluation discipline

Production ownership

High-agency collaboration

Education

Bachelor’s Degree in a relevant field of study

Job description

EY is leading a Challenger program that builds next‑generation AI-enabled services. You’ll turn AI concepts into durable products, working close to users, decisions, and production code.

The role emphasizes ownership, rapid experimentation, and responsible use across a complete product slice, with hybrid office access and travel up to 50% to collaborate with firm-wide teams. We seek engineers who combine breadth with hands-on AI delivery, capable of shipping across frontend, backend, data, and