Senior AI Agent Architect

EY

San Jose (CA)

Híbrido

USD 180.000 - 374.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Medical coverage
Dental coverage
401(k) plan
Paid time off
Flexible vacation

Descripción de la vacante

EY is seeking an experienced AI/Applied ML Engineer to build enterprise-scale agents and deterministic workflows that remain understandable, steerable, and safe across long-running processes.

You will shape planning, tooling, and control loops while collaborating across product, platform, and security teams to deliver durable, testable AI capabilities. Travel up to 50% and a hybrid office model are expected.

Formación

  • Bachelor’s Degree in a relevant field of study.
  • 9-12+ years of relevant experience.
  • Strong production systems ownership and live behavior experience.
  • Hands-on evidence of shipping large-language-model apps, agents, or complex model-driven workflows.
  • Strong capability in Python, TypeScript, or similar production languages.
  • Experience with model APIs, structured outputs, retrieval, tool use, and evaluation of variable behavior.
  • Experience with asynchronous work, state, concurrency, idempotency, retries, and failure recovery.
  • Experience implementing access boundaries and scoped authority for apps or automated workloads.
  • Evidence of improving live systems via traces, metrics, logs, incident analysis, and durable remediation.
  • Travel and On-site requirements: up to 50% travel; hybrid capacity.

Responsabilidades

  • Choose the right execution model and deterministic steps.
  • Build dependable tools with clear contracts and error handling.
  • Engineer agent behavior across planning, routing, delegation, retry, and handoff.
  • Create durable context from instructions, user state, retrieval, and memory.
  • Bound agent authority with scoped identities and budgets.
  • Evaluate complete trajectories with verified outcomes and recovery.
  • Operate long-running execution with durable state and safe retries.
  • Make behavior observable via end-to-end traces and replay.
  • Protect user control with intervention points for inspection and resumption.
  • Build shared capability by partnering across teams and publishing reusable agent patterns.

Conocimientos

Production engineering
Agent architecture
AI application depth
Evaluation discipline
Security and operability
Product judgement

Educación

Bachelor’s Degree in a relevant field

Herramientas

Python
TypeScript

Descripción del empleo

EY is seeking an experienced AI/Applied ML Engineer to build enterprise-scale agents and deterministic workflows that remain understandable, steerable, and safe across long-running processes.

You will shape planning, tooling, and control loops while collaborating across product, platform, and security teams to deliver durable, testable AI capabilities. Travel up to 50% and a hybrid office model are expected.

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