Senior AI Agent Architect & Execution Leader

EY; Stamford (CT); Hybrid; USD 144,000 - 359,000; Full time

Job summary

EY is seeking a senior AI/Applied AI engineer to build and operate agents across enterprise workflows. The role focuses on deterministic and autonomous agent orchestration, with emphasis on reliability, safety, and clear operational controls.

You will work within Challenger, EY's program for next-generation services, developing durable tooling and end-to-end execution capabilities. Travel up to 50% with a hybrid office model is expected.

Qualifications

• 9-12+ years of relevant experience.
• Strong record in software or applied machine-learning engineering with ownership of production systems and their live behavior.
• Hands-on evidence of shipping large-language-model applications, agents, or complex model-driven workflows used for real work.
• Programming depth in Python, TypeScript, or another language used for production services and integrations.
• Experience with model APIs, structured outputs, retrieval, tool use, and evaluation of variable behavior.
• Distributed execution: asynchronous work, state, concurrency, retries, and failure recovery.
• Identity and controls: access boundaries and scoped authority for apps or automated workloads.
• Production learning: improving live systems through traces, metrics, logs, and durable remediation.
• Travel and On-site requirements: up to 50% travel with hybrid office presence.

Responsibilities

• Choose the right execution model. Design agent architectures that use deterministic steps, a single-agent loop, or coordinated agents only when measured performance justifies the complexity.
• Build dependable tools. Create connectors and interfaces with clear contracts, validated outcomes, narrow authorization, and recoverable errors.
• Engineer agent behavior. Shape planning, routing, delegation, stopping, retry, and handoff behavior across complete workflows.
• Create durable context. Combine instructions, user state, retrieval, memory, and environment feedback while preserving relevance and provenance.
• Bound agent authority. Implement scoped identities, credentials, budgets, approval points, and emergency containment.
• Evaluate complete trajectories. Build tests that measure verified task success, tool use, recovery, human takeover, and prohibited actions.
• Operate long-running execution. Use durable state, checkpointing, safe retries, versioned releases, rollback, and graceful degradation.
• Make behavior observable. Instrument end-to-end traces and replay for failure diagnosis and improvement.
• Protect user control. Design intervention points to inspect, interrupt, redirect, and safely resume agent work.
• Build shared capability. Collaborate across teams and publish reusable agent patterns and operational lessons.

Skills

Production engineering

Agent architecture

AI application depth

Evaluation discipline

Security and operability

Product judgment

Education

Bachelor’s Degree in a relevant field

Job description

EY is seeking a senior AI/Applied AI engineer to build and operate agents across enterprise workflows. The role focuses on deterministic and autonomous agent orchestration, with emphasis on reliability, safety, and clear operational controls.

You will work within Challenger, EY's program for next-generation services, developing durable tooling and end-to-end execution capabilities. Travel up to 50% with a hybrid office model is expected.