AI-Driven Product Engineer — End-to-End Ownership

EY

Nashville (TN)

Hybrid

USD 110.000 - 200.000

Vollzeit

vor 11 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

EY invites engineers to join Challenger, a program delivering AI-enabled services with founder-like ownership. You’ll move from user conversations to prototypes, secure services, and production improvements within a fast, data-driven product cycle.

The role emphasizes accessibility, maintainability, and simplifying when evidence requires it. Challenger Core develops reusable tools and guardrails to accelerate service delivery.

Qualifikationen

  • 5+ years of relevant experience.
  • Bachelor’s Degree in a relevant field.
  • End-to-end delivery: taking customer- or employee-facing software from concept to launch and adoption.
  • Technical breadth across frontend, backend, API, data, and cloud technologies.
  • Applied AI experience with large language models, retrieval, tools, or similar AI patterns.
  • Evaluation experience: automated tests and behavioral evaluation for probabilistic systems.
  • Live-service ownership: telemetry, debugging, reliability, incident response, recovery.

Aufgaben

  • Start with the user: work with users and domain experts to understand workflows and identify where AI adds value.
  • Test assumptions quickly: turn hypotheses into specs, prototypes, and small releases with evidence.
  • Own complete product slices: build coherent verticals across experience, services, data, AI behavior, and integrations.
  • Shape AI behavior: design instructions, context, retrieval, outputs, and tool use with selective adaptation.
  • Build the evidence system: create tasks and evaluations showing usefulness, correctness, safety, accessibility, and improvement.
  • Connect outcomes to behavior: instrument journeys to relate adoption and task success to system metrics.
  • Engineer for responsible use: define permissions, data handling, checkpoints, graceful degradation, rollback.
  • Own production quality: release incrementally, monitor live behavior, respond to incidents, improve over time.
  • Make practical trade-offs: balance experience, quality, speed, reliability, cost.
  • Contribute reusable patterns: share components and evaluation assets while ensuring performance.

Kenntnisse

Full-stack engineering
AI product depth
Product judgment
Evaluation discipline
Production ownership
Cross-team collaboration

Ausbildung

Bachelor’s degree

Jobbeschreibung

EY invites engineers to join Challenger, a program delivering AI-enabled services with founder-like ownership. You’ll move from user conversations to prototypes, secure services, and production improvements within a fast, data-driven product cycle.

The role emphasizes accessibility, maintainability, and simplifying when evidence requires it. Challenger Core develops reusable tools and guardrails to accelerate service delivery.

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