AI Agent Engineering Manager

EY

Boca Raton (FL)

Híbrido

USD 126.000 - 230.000

Jornada completa

hace 5 horas
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Descripción de la vacante

EY is seeking engineers to build AI agents that execute deterministic workflows across complex, enterprise-scale environments. You will design multi-agent and single-agent loops, integration points, and safety controls while ensuring observable behavior and controllable governance.

Ideal candidates ship large-language-model apps, demonstrate production systems ownership, and work across product, security, and evaluation teams in a hybrid, travel-friendly role.

Formación

  • Bachelor’s degree in a relevant field.
  • 7-9 years of software or applied machine-learning engineering, with ownership of production systems and their live behavior.
  • Hands-on evidence of shipping large-language-model applications, agents, or complex model-driven workflows.
  • Strong capability in Python, TypeScript, or another language used for production services.
  • Experience with model APIs, structured outputs, retrieval, tool use, and evaluation of variable behavior.
  • Practical command of asynchronous work, state, concurrency, idempotency, retries, and failure recovery.
  • Experience implementing access boundaries and scoped authority for applications or automated workloads.
  • Evidence of improving live systems through traces, metrics, logs, incident analysis, and durable remediation.
  • This role requires up to 50% travel and hybrid on-site capability.

Responsabilidades

  • Choose the right execution model for agent architectures.
  • Build dependable tools with clear contracts and error handling.
  • Engineer agent behavior across planning, routing, and handoffs.
  • Create durable context from instructions, memory, and environment feedback.
  • Bound agent authority with scoped identities and budgets.
  • Evaluate complete trajectories with tests for verified task success and recovery.
  • Operate long-running execution with durable state and safe retries.
  • Make behavior observable with traces and replay for debugging.
  • Protect user control with clear intervention points.
  • Build shared capability by partnering across teams and publishing reusable patterns.

Conocimientos

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

Educación

Bachelor’s Degree

Herramientas

Python
TypeScript

Descripción del empleo

EY is seeking engineers to build AI agents that execute deterministic workflows across complex, enterprise-scale environments. You will design multi-agent and single-agent loops, integration points, and safety controls while ensuring observable behavior and controllable governance.

Ideal candidates ship large-language-model apps, demonstrate production systems ownership, and work across product, security, and evaluation teams in a hybrid, travel-friendly role.

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