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About the Role

Turn emerging AI capabilities into products people choose to use, trust, and rely on. You will work as 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. This role suits an engineer with founder-like ownership and the discipline to test assumptions early. Speed matters, but so do accessibility, maintainability, and the willingness to simplify when the evidence calls for it.

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 incident, 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.

Requirements

5+ years of relevant experience.
Bachelor’s Degree in a relevant field.
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.

Skills

Full-stack engineering: Strong ability to build maintainable production software across modern interfaces, services, APIs, data, and integrations.
AI application depth: Practical knowledge of model APIs, context design, retrieval, tool use, structured outputs, and agentic patterns.
Product judgment: Ability to find the real user problem, frame clear hypotheses, and simplify the solution when evidence challenges the original idea.
Evaluation discipline: Experience designing representative tests and experiments for systems whose behavior is not fully deterministic.
Production ownership: Strong instincts for observability, accessibility, security, performance, reliability, recovery, and responsible use.
High-agency collaboration: Comfort working across product, design, domain, platform, and control teams while staying accountable for the outcome after launch.
Agentic products: Experience building workflow automation or collaborative AI products that interact with real business systems.
Enterprise environments: Experience with identity, knowledge systems, permission-sensitive information, or regulated and confidential settings.
Design sensibility: A strong instinct for clear interactions, accessibility, and reducing user effort in complex workflows.
Efficiency at scale: Experience improving the quality, latency, reliability, or economics of production AI applications.
Builder track record: Startup experience, open-source contributions, or another clear example of high-agency product building.

Location

Anywhere in Country

Work Type

Hybrid
Remote

Experience Level

5+ years of relevant experience

Education Level

Bachelor’s Degree in a relevant field

Salary/Compensations

New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $128,400 to $192,500
Bay Area California offices – $133,600 to $200,600
All other offices locations in the US, including Sacramento – $106,900 to $176,500

Benefits

Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

About the Company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.