Senior AI Agent Engineer & Leader

EY

Grand Rapids (MI)

Remote

USD 144,000 - 329,000

Full time

2 hours ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k)
Paid time off
Flexible vacation policy

Job summary

EY Challenger is seeking an experienced engineer to build AI agents that execute complex workflows with deterministic steps, safe autonomy, and robust tools integration. You will design architectures, craft durable context, and ensure verifiable outcomes in enterprise-scale environments.

You will work across product, platform, knowledge, security, and evaluation teams to publish reusable agent patterns and operational lessons, enabling scalable, trustworthy AI services within EY’s Challenger

Qualifications

  • Bachelor’s degree required.
  • 9–12+ years of relevant experience.
  • Strong record in software or applied ML engineering with production systems.
  • Hands-on shipping of large-language-model apps, agents, or complex model-driven workflows.

Responsibilities

  • Design agent architectures using deterministic steps or single-agent loops.
  • Create connectors and interfaces with clear contracts and validated outcomes.
  • Shape planning, routing, delegation, and handoff across workflows.
  • Combine instructions, user state, memory and environment feedback while preserving relevance.
  • Implement scoped identities and emergency containment for agent control.
  • Build tests measuring verified task success, tool use, and recovery.

Skills

Production engineering
Agent architecture
AI application depth
Evaluation discipline
Security and operability
Product judgment
Distributed systems

Education

Bachelor’s Degree in a relevant field

Tools

Python
TypeScript

Job description

EY Challenger is seeking an experienced engineer to build AI agents that execute complex workflows with deterministic steps, safe autonomy, and robust tools integration. You will design architectures, craft durable context, and ensure verifiable outcomes in enterprise-scale environments.

You will work across product, platform, knowledge, security, and evaluation teams to publish reusable agent patterns and operational lessons, enabling scalable, trustworthy AI services within EY’s Challenger

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