AI-First Product Engineering Lead

EY; Baltimore (MD); Hybrid; USD 126,000 - 262,000; Full time

Benefits offered by this job

Paid time off

Medical and dental coverage

Flexible vacation policy

Job summary

EY is seeking an experienced engineer to turn emerging AI capabilities into durable products. You will move from user conversations to prototypes and secure services, balancing speed with accessibility and maintainability.

The role emphasizes ownership across experience, data, AI behavior, and enterprise integrations, with travel up to 50% and a hybrid office model. The Challenger program focuses on building next-generation services with reusable tooling and clear business value.

Qualifications

• 7+ years of relevant and applicable experience.
• End-to-end delivery: taking software from concept through launch and adoption.
• Technical breadth: full-stack capability across frontend, backend, API, data, and cloud tech.
• 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, and incident recovery.

Responsibilities

• Start with the user: engage with users and domain experts to map workflows and identify AI value.
• Test assumptions quickly: turn hypotheses into concise specs 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, structured outputs, and tool use.
• Build the evidence system: create representative tasks and automated evaluations to prove usefulness, safety, and accessibility.
• Connect outcomes to behavior: instrument journeys to relate adoption to system metrics like latency and cost.
• Engineer for responsible use: define permissions, data handling, checkpoints, and rollback strategies.
• Own production quality: incremental releases, live monitoring, incidents, and durable improvements.
• Make practical trade-offs: balance experience, quality, speed, reliability, and cost in decisions.
• Contribute reusable patterns: share components and evaluation assets with the platform while ensuring 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 experienced engineer to turn emerging AI capabilities into durable products. You will move from user conversations to prototypes and secure services, balancing speed with accessibility and maintainability.

The role emphasizes ownership across experience, data, AI behavior, and enterprise integrations, with travel up to 50% and a hybrid office model. The Challenger program focuses on building next-generation services with reusable tooling and clear business value.