Lead AI Architect: Universal Agent Control

Ernst & Young Oman; Tucson (AZ); On-site; USD 126,000 - 230,000; Full time

Job summary

EY is seeking an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing AI Agent Control. The role focuses on scalable agentic systems, including identity/authentication, post-training environments, and federated learning.

You will drive architecture across AI, security, data, and infra domains, mentoring engineers and collaborating with partners. The position requires 10+ years in software engineering and AI, advanced degrees, and hands-on

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

AI Native design processes

Multi-agent system knowledge

Identity authentication design

Security/Telemetry logging

Leadership abilities

Architectural design

Problem solving

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

Python

Bash

Typescript

Go

Rust

Java

Job description

EY is seeking an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing AI Agent Control. The role focuses on scalable agentic systems, including identity/authentication, post-training environments, and federated learning.

You will drive architecture across AI, security, data, and infra domains, mentoring engineers and collaborating with partners. The position requires 10+ years in software engineering and AI, advanced degrees, and hands-on