Lead AI Architect, Domain Agent Control

EY

Alpharetta (GA)

Hybrid

USD 126,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Pension
401(k) plan
Paid time off

Job summary

EY is hiring an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing AI Agent Control. This role demands deep expertise in multi-agent systems, agent authentication, observability, and post-training environments.

You will collaborate with AI, Security, Data and Infrastructure teams to deliver scalable, auditable architectures and contribute to IP filings while shaping the future of AI-enabled enterprise solutions.

Qualifications

  • Advanced degree in Electrical Engineering, Computer Science 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 software IDE, CI/CD pipeline, modern code hosting and collaboration (Github/Gitlab/Azure DevOps etc…)
  • Experience with Nvidia NVAIE, AWS and MSFT Azure AI stacks.

Responsibilities

  • Design of control harness intelligence systems including multiagent systems and associated tools and scaffolding.
  • Design architectures for agent identity and authentication in large scale multi-agent enterprise systems.
  • Design of post training and tuning/customization environments.
  • Design of synthesis models for AI open-source models.
  • Implement and test these architectures benchmarking performance against agent and human designed evals.
  • Design comprehensive AI Agent control frameworks.
  • Drive agent design requirements and implement through AI Native design process.
  • Assess through primary and secondary research emerging agent authorization architectures and frontier model proposals.
  • Collaborate with other architectural experts in AI, Security, Data and Infrastructure to insure balanced and practical outcomes.
  • Support strategic business development activities for emerging technology as required.
  • Present at academic conferences and support development of IP filings
  • Hands on development of the advanced AI capabilities in agentic control.
  • Lead a team of experts in building a universal agentic control harnesses.

Skills

Analytical skills
Leadership
Cross-functional collaboration
Emotional intelligence
Critical thinking

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub

Job description

EY is hiring an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing AI Agent Control. This role demands deep expertise in multi-agent systems, agent authentication, observability, and post-training environments.

You will collaborate with AI, Security, Data and Infrastructure teams to deliver scalable, auditable architectures and contribute to IP filings while shaping the future of AI-enabled enterprise solutions.

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