AI-First Product Engineer

EY; New York (NY); Hybrid; USD 128,000 - 193,000; Full time

Job summary

EY’s Challenger program seeks an engineer who can turn emerging AI capabilities into durable products. You’ll work close to users, decisions, and production code, with founder‑like ownership and disciplined validation.

The role emphasizes speed, accessibility, maintainability, and thoughtful simplification when evidence warrants it. Challenger Core maintains shared tech, methods, and guardrails; teams deliver reusable tools and tested patterns.

Qualifications

• 5+ years of relevant experience.
• Bachelor’s Degree in a relevant field.
• End-to-end delivery: take customer- or employee-facing software from concept through launch, learning, and adoption.
• Technical breadth across modern frontend, backend, API, data, and cloud technologies, demonstrated through shipped work.
• Applied AI experience: building products with large language models, retrieval, tools, or similar patterns.
• Evaluation experience: automated testing and behavioral evaluation for probabilistic systems.
• Live-service ownership: telemetry, debugging, reliability, incident response, and performance improvements.
• User-centered practice: direct work with users, designers, and product leaders to improve decisions.
• Engineering craft: clear specs, maintainable code, and thoughtful reviews.
• Travel up to 50% and hybrid on-site requirements.

Responsibilities

• Start with the user by working directly with users and domain experts to understand real workflows and identify where AI adds value.
• Test assumptions quickly with concise specifications, prototypes, and small releases.
• Own complete product slices across experience, services, data, AI behavior, and enterprise integrations.
• Shape AI behavior through instructions, context, retrieval, and tools.
• Build an evidence system with representative tasks and automated evaluations.
• Instrument user journeys to relate adoption and task success to system behavior and costs.
• Engineer for responsible use with data handling, privacy, and safety checks.
• Release incrementally, monitor live behavior, and turn failures into improvements.
• Make pragmatic trade-offs balancing experience, quality, speed, reliability, and cost.
• Share reusable patterns and components across the platform.

Skills

Full-stack engineering

AI application depth

Product judgment

Evaluation discipline

Production ownership

High-agency collaboration

Education

Bachelor’s degree

Job description

EY’s Challenger program seeks an engineer who can turn emerging AI capabilities into durable products. You’ll work close to users, decisions, and production code, with founder‑like ownership and disciplined validation.

The role emphasizes speed, accessibility, maintainability, and thoughtful simplification when evidence warrants it. Challenger Core maintains shared tech, methods, and guardrails; teams deliver reusable tools and tested patterns.