Lead AI Architect: Agent Control & Multiagent Systems

EY; Chattanooga (TN); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Generous paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to lead a team of domain experts in designing AI Agent Control systems. You will shape architectures for multi-agent identity, post-training customization, and governance, while delivering practical frameworks and tooling for scalable AI solutions.

The role emphasizes hands-on development, collaboration across AI, security, data, and infra, and engagement with industry research and IP activities. Hybrid, national scope, EY values inclusion.

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 teamwork

Emotional agility

Critical thinking

Communication

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

NVIDIA NVAIE

Azure AI

Job description

EY is seeking an experienced Lead AI Software Architect to lead a team of domain experts in designing AI Agent Control systems. You will shape architectures for multi-agent identity, post-training customization, and governance, while delivering practical frameworks and tooling for scalable AI solutions.

The role emphasizes hands-on development, collaboration across AI, security, data, and infra, and engagement with industry research and IP activities. Hybrid, national scope, EY values inclusion.