Senior AI Agent Architect & Systems Lead

EY

New York (NY)

Hybrid

USD 173,000 - 359,000

Full time

47 hours ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k) plans
Paid time off

Job summary

EY seeks a senior AI/Applied ML engineer to design and operate long-running agents across enterprise workflows. You will build connectors, manage tool use and safety controls while shaping behavior for real-world reliability and governance.

The role sits in Challlenger Core, aligning product, platform, security, and evaluation teams to deliver scalable, observable agent solutions with strong operational discipline.

Qualifications

  • Bachelor’s degree required or equivalent experience with deep software and AI production background.
  • 5+ years of relevant experience in software or applied ML engineering.
  • Experience shipping large‑language‑model applications, agents, or complex model‑driven workflows.

Responsibilities

  • Choose the right execution model and architectures for deterministic steps or multi-agent coordination.
  • Build dependable tools with clear contracts, validated outcomes, and safe error handling.
  • Engineer agent behavior including planning, routing, delegation, retry, and handoff across workflows.
  • Create durable context combining instructions, state, memory, and environment feedback while preserving relevance.
  • Bound agent authority with scoped identities, credentials and budgets.
  • Evaluate complete trajectories with tests measuring verified task success and recovery.
  • Operate long-running execution with durable state, checkpointing and graceful degradation.
  • Make behavior observable via end-to-end traces and replay for failure diagnosis.
  • Protect user control with clear intervention points and safe resumption of work.
  • Publish reusable agent patterns and lessons across product, platform, security, and evaluation teams.

Skills

Production engineering
Agent architecture
AI application depth
Evaluation discipline
Security and operability
Product judgment
Python
TypeScript

Education

Bachelor’s Degree in a relevant field

Tools

MCP standards

Job description

EY seeks a senior AI/Applied ML engineer to design and operate long-running agents across enterprise workflows. You will build connectors, manage tool use and safety controls while shaping behavior for real-world reliability and governance.

The role sits in Challlenger Core, aligning product, platform, security, and evaluation teams to deliver scalable, observable agent solutions with strong operational discipline.

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