Senior Agentic AI Engineer & Systems Lead

EY; Las Vegas (NV); Hybrid; USD 144,000 - 374,000; Full time

Job summary

EY is seeking engineers to build AI agents that carry meaningful work from intent to verified outcomes, within enterprise-grade, steerable, and safe systems. You will design execution loops, tools, permissions, and runtime controls enabling agents to operate across complex workflows while preserving user safety and transparency.

The role sits at the intersection of applied AI, distributed systems, and product engineering, tackling long-running behavior, enterprise integrations, and challenging

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 errors that help the agent recover or elevate.
• 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, provenance, freshness, and permitted access.
• Bound agent authority. Implement scoped identities, credentials, budgets, approval points, and emergency containment so agents act within explicit limits.
• Evaluate complete trajectories. Build representative tests that measure verified task success, tool use, recovery, human takeover, and prohibited actions rather than isolated responses.
• Operate long-running execution. Use durable state, checkpointing, safe retries, versioned releases, rollback, and graceful degradation to keep work recoverable.
• Make behavior observable. Instrument end-to-end traces and replay so teams can understand failures, diagnose patterns, and turn production evidence into improvements.
• Protect user control. Design clear intervention points so people can inspect, interrupt, redirect, and safely resume agent work.
• Build shared capability. Partner across product, platform, knowledge, security, and evaluation teams and publish reusable agent patterns and operational lessons.

Job description

EY is seeking engineers to build AI agents that carry meaningful work from intent to verified outcomes, within enterprise-grade, steerable, and safe systems. You will design execution loops, tools, permissions, and runtime controls enabling agents to operate across complex workflows while preserving user safety and transparency.

The role sits at the intersection of applied AI, distributed systems, and product engineering, tackling long-running behavior, enterprise integrations, and challenging