Senior AI Architect & Lead, Agent Control Systems

EY; Rogers (AR); Hybrid; USD 144,000 - 329,000; Full time

Benefits offered by this job

Hybrid work model

IP filings support

Academic conference opportunities

Job summary

EY seeks an experienced Lead AI Software Architect to head a team of domain architects, designing AI Agent Control systems at scale. You will drive multiagent coordination, authentication, telemetry, and policy enforcement while shaping research and practical implementations.

You will collaborate across AI, Security, Data and Infrastructure teams, mentor engineers, and guide post-training environments including federated learning. A proven track record in scalable AI architectures is essential.

Qualifications

• Advanced degree required 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.
• Experience with AI native software development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub).
• Familiarity with scripting languages (Python, Bash, TypeScript) and software languages (Go, Rust, Java).
• Understand AI Native design process and principles.
• Experience with cryptographic methods of identity and auth.
• Experience with modern IDEs, CI/CD pipelines and code hosting (GitHub/GitLab/Azure DevOps).
• 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 emerging agent authorization architectures and frontier model proposals.
• Collaborate with AI, Security, Data and Infrastructure teams for balanced outcomes.
• Support strategic business development activities for emerging technology.
• 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

Analytical skills

Troubleshooting

Leadership

Cross-functional collaboration

Emotional intelligence

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor / Claude Code / Qodo/Codium / Gemini / AWS Q / GitHub

Python

Go

Job description

EY seeks an experienced Lead AI Software Architect to head a team of domain architects, designing AI Agent Control systems at scale. You will drive multiagent coordination, authentication, telemetry, and policy enforcement while shaping research and practical implementations.

You will collaborate across AI, Security, Data and Infrastructure teams, mentor engineers, and guide post-training environments including federated learning. A proven track record in scalable AI architectures is essential.