Lead AI Agent Control Architect

EY; Salt Lake City (UT); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Hybrid work model

Job summary

EY is seeking an experienced Lead AI Software Architect to guide a team of domain experts in designing AI Agent Control systems. This role focuses on building scalable agentic architectures, including authentication, telemetry, and post-training environments, with hands-on development and cross-functional collaboration.

You will lead design efforts for agent identity, security, and synthesis models while driving strategic technology initiatives and IP development in a fast-paced, hybrid work

Qualifications

• Advanced degree in Electrical Engineering, Computer Science or Mathematics.
• 10+ years of experience in software engineering and AI.
• Experience working 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

10+ years experience

Multi-agent administration

Secrets management

AI native tools

Scripting languages

Programming languages

AI Native design

Crypto identity/auth

CI/CD tooling

NVIDIA NVAIE/AWS/Azure stacks

Cross-functional leadership

Large-scale projects

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 guide a team of domain experts in designing AI Agent Control systems. This role focuses on building scalable agentic architectures, including authentication, telemetry, and post-training environments, with hands-on development and cross-functional collaboration.

You will lead design efforts for agent identity, security, and synthesis models while driving strategic technology initiatives and IP development in a fast-paced, hybrid work