AI-Driven Product Engineering Lead

EY; City of Albany (NY); Hybrid; USD 126.000 - 230.000; Vollzeit

Zusammenfassung

EY’s Challenger program seeks an experienced engineer to turn emerging AI capabilities into durable products. You’ll work end-to-end near users and production code, owning complete slices of the product and shaping AI behavior with responsible, measurable outputs.

The role emphasizes speed, accessibility, and maintainability in a hybrid, travel-flexible setting. Ideal candidates have 7+ years of experience, a strong full-stack background, and hands-on AI product delivery with LLMs, retrieval, or

Qualifikationen

• 7+ years of relevant and applicable experience.
• End-to-end delivery: taking customer- or employee-facing software from concept through launch, learning, and adoption.
• Technical breadth: strong full-stack capability across 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 probabilistic outputs.
• Live-service ownership: telemetry, debugging, reliability, incident response, and performance improvement.
• User-centered practice: experience working directly with users, designers, and product leaders to turn evidence into better product decisions.
• Engineering craft: 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.

Aufgaben

• 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.

Kenntnisse

Full-stack engineering

AI application depth

Product judgment

Evaluation discipline

Production ownership

High-agency collaboration

Ausbildung

Bachelor’s Degree

Jobbeschreibung

EY’s Challenger program seeks an experienced engineer to turn emerging AI capabilities into durable products. You’ll work end-to-end near users and production code, owning complete slices of the product and shaping AI behavior with responsible, measurable outputs.

The role emphasizes speed, accessibility, and maintainability in a hybrid, travel-flexible setting. Ideal candidates have 7+ years of experience, a strong full-stack background, and hands-on AI product delivery with LLMs, retrieval, or