AI Product Engineer - End-to-End Builder (Remote)

EY; Milwaukee (WI); Hybrid; USD 107,000 - 177,000; Full time

Job summary

EY is seeking an engineer to turn emerging AI capabilities into durable products. You will be an end-to-end builder, close to users, product decisions, and production code, connecting the pieces that turn an AI demonstration into a durable product.

The role requires founder-like ownership, rigorous testing, and a willingness to simplify when evidence calls for it. Travel up to 50% and hybrid office presence are expected as part of the role.

Qualifications

• Bachelor’s degree in a relevant field.
• 5+ years of relevant experience in product and software delivery.
• Hands-on experience with AI-enabled product development and end-to-end delivery.
• Strong understanding of full-stack systems, modern frontend/backend, APIs and data.

Responsibilities

• Start with the user and translate workflows into AI-enabled product decisions.
• Test hypotheses with concise specifications, prototypes and small releases.
• Own complete product slices across experience, services, data, AI behavior and integrations.
• Shape AI behavior with clear instructions, contexts and structured outputs.
• Build an evidence system with representative tasks and automated evaluations.
• Instrument journeys to tie adoption to system behavior and cost.
• Incorporate responsible use, security, and graceful degradation into design.
• Release incrementally, monitor live behavior and improve through incidents.
• Balance experience, quality, speed, reliability and cost in product decisions.
• Share reusable components while maintaining accountability for 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 seeking an engineer to turn emerging AI capabilities into durable products. You will be an end-to-end builder, close to users, product decisions, and production code, connecting the pieces that turn an AI demonstration into a durable product.

The role requires founder-like ownership, rigorous testing, and a willingness to simplify when evidence calls for it. Travel up to 50% and hybrid office presence are expected as part of the role.