AI Agent Engineering Lead

EY; Miami (FL); Hybrid; USD 126.000 - 230.000; Vollzeit

Benefits dieser Stelle

Health benefits

401(k) plan

Flexible vacation

Paid time off

Zusammenfassung

EY is seeking engineers to build AI agents that operate across complex workflows with deterministic execution and safe autonomy. You will craft the execution loops, tools, context, and controls to ensure reliable behavior in production environments.

The role blends applied AI, distributed systems, and product engineering, focusing on long-running behavior, enterprise integrations, and robust production failure handling. Travel up to 50% may be required in a hybrid setting.

Qualifikationen

• Production engineering: build dependable systems that endure failures.
• Agent architecture: reason about planning, tools, state, and coordination.
• AI application depth: knowledge of model APIs, context, memory, and tool use.
• Evaluation discipline: measure complete trajectories and verified outcomes.
• Security and operability: least privilege, observability, resilience, and safe intervention.
• Product judgment: balance quality, latency, cost, and user control.

Aufgaben

• Choose the right execution model for agent workflows and determine when complexity is justified.
• Build dependable tools and interfaces with clear contracts and controlled errors.
• Engineer agent behavior including planning, routing, delegation, and handoff across workflows.
• Create durable context combining instructions, user state, memory, and environment feedback.
• Bound agent authority with scoped identities, credentials, and budgets.
• Evaluate complete trajectories with tests for task success, tool use, and recovery.

Kenntnisse

Production engineering

Agent architecture

AI application depth

Evaluation discipline

Security and operability

Product judgment

Ausbildung

Bachelor’s Degree in a relevant field

Jobbeschreibung

EY is seeking engineers to build AI agents that operate across complex workflows with deterministic execution and safe autonomy. You will craft the execution loops, tools, context, and controls to ensure reliable behavior in production environments.

The role blends applied AI, distributed systems, and product engineering, focusing on long-running behavior, enterprise integrations, and robust production failure handling. Travel up to 50% may be required in a hybrid setting.