Lead AI Systems Architect — Multi-Agent Control

EY; Tulsa (OK); On-site; USD 144,000 - 329,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Generous time off

Job summary

EY seeks an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing AI Agent Control. The role covers tool usage, state management, environment control, policy, multiagent APIs, and anomaly detection, with emphasis on authentication, telemetry, and secure logging.

You will drive architectures for agent identity, post-training environments, and evaluation benchmarking while collaborating with AI, security, data, and infra teams to deliver scalable AI

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 IDEs, CI/CD, code hosting and collaboration (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 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

AI software dev

Multi-agent systems

Leadership

Python

Go/Rust/Java

CI/CD

Secrets management

Authentication design

Security architecture

Education

Advanced degree in EE/CS/Math

Tools

NVIDIA NVAIE

AWS AI stack

Azure AI stack

GitHub/GitLab/Azure DevOps

Job description

EY seeks an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing AI Agent Control. The role covers tool usage, state management, environment control, policy, multiagent APIs, and anomaly detection, with emphasis on authentication, telemetry, and secure logging.

You will drive architectures for agent identity, post-training environments, and evaluation benchmarking while collaborating with AI, security, data, and infra teams to deliver scalable AI