Senior AI Architect & Team Lead - Drive Agent Control

EY

Salt Lake City (UT)

Hybrid

USD 144,000 - 329,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Competitive compensation and benefits
Medical and dental coverage
401(k) and pension plans
Paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to head a team of domain experts in designing and implementing AI Agent Control. The role focuses on agent authentication, observability, and scalable AI solutions within a fast-paced environment, with responsibilities spanning research, architecture, and hands-on development.

The successful candidate will lead multiagent system design, collaborate across AI, Security, Data and Infrastructure, and contribute to IP filings while supporting

Qualifications

  • Advanced degree in Electrical Engineering, CS or Mathematics.
  • 10+ years of experience in software engineering and AI.
  • Experience with multi-agent system administration and modern secrets management.
  • Use of AI native software development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub)
  • Familiarity with scripting languages (Python, Bash, TypeScript etc…) and software languages (Go, Rust, Java etc…).
  • Understand AI Native design process and principles
  • Experience with cryptographic methods of identity and auth.
  • Experience with modern IDEs, CI/CD, and collaboration tools (GitHub/GitLab/Azure DevOps)
  • Experience with Nvidia NVAIE, AWS and MSFT Azure AI stacks.

Responsibilities

  • Design control harness intelligence systems including multiagent platforms and tooling.
  • Design architectures for agent identity and authentication in large-scale multi-agent enterprise systems.
  • Design post training and tuning environments.
  • Design synthesis models for AI open-source models.
  • Implement and test architectures, benchmarking performance.
  • Design comprehensive AI Agent control frameworks.
  • Drive agent design requirements via AI Native design process.
  • Assess emerging agent authorization architectures and frontier model proposals.
  • Collaborate with AI, Security, Data and Infrastructure for balanced outcomes.
  • Support strategic business development activities for emerging tech.
  • Present at academic conferences and support IP filings.
  • Hands-on development of advanced AI capabilities in agentic control.
  • Lead a team of experts in building universal agentic control harnesses.

Skills

AI software development
Multi-agent systems
Secrets management
CI/CD tooling
Cloud AI stacks
Python
Bash
TypeScript
Go
Rust
Java
AI Native design
Cryptographic identity/auth

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub

Job description

EY is seeking an experienced Lead AI Software Architect to head a team of domain experts in designing and implementing AI Agent Control. The role focuses on agent authentication, observability, and scalable AI solutions within a fast-paced environment, with responsibilities spanning research, architecture, and hands-on development.

The successful candidate will lead multiagent system design, collaborate across AI, Security, Data and Infrastructure, and contribute to IP filings while supporting

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