Lead AI Architect: Multi-Agent Control Systems

EY

Orlando (FL)

On-site

USD 144,000 - 329,000

Full time

35 hours ago
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Benefits offered by this job

Hybrid/Remote-friendly model
Medical and dental coverage
Pension and 401(k) plans
Paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing AI Agent Control. You will drive architectures for multi-agent systems, agent authentication, and post-training environments, while guiding tool usage and integration with open-source models.

The role emphasizes hands-on development, collaboration with AI, Security, and Data teams, and leadership of a high-caliber engineering team in a fast-paced, innovative setting.

Qualifications

  • Advanced degree required in STEM field.
  • 10+ years in software engineering and AI.
  • Experience with multi-agent systems and secrets management.
  • Familiar with AI native tools and code assistants.
  • Proficiency in scripting languages (Python, Bash, TS) and Go/Rust/Java.
  • Knowledge of CI/CD and modern IDEs.

Responsibilities

  • Design control harness for AI agent systems and tooling.
  • Architect identity and authentication for large-scale multi-agent systems.
  • Develop post-training and tuning environments for agents.
  • BenchMark architectures against agent and human evals.
  • Lead a team of experts in universal agent control harnesses.
  • Collaborate across AI, Security, Data and Infra domains.

Skills

AI architecture
Multi-agent systems
Agent authentication
CI/CD

Education

Advanced degree in Electrical Engineering or Computer Science or Mathematics

Tools

NVIDIA NVAIE / Azure AI
Python / Bash / Typescript
GitHub / GitLab / Azure DevOps

Job description

EY is seeking an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing AI Agent Control. You will drive architectures for multi-agent systems, agent authentication, and post-training environments, while guiding tool usage and integration with open-source models.

The role emphasizes hands-on development, collaboration with AI, Security, and Data teams, and leadership of a high-caliber engineering team in a fast-paced, innovative setting.

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