Lead AI Systems Architect – Agent Control

EY; Stamford (CT); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

401(k) plan

Paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to steer a team of domain architects in designing and implementing AI Agent Control at scale. You will lead explorations of tool usage, state management, policy definition, and multiagent APIs while driving performance benchmarking against expert and AI evals.

You will collaborate across AI, Security, Data and Infrastructure teams, mentor engineers, and contribute to IP filings and conferences.

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

Analytical thinking

Leadership

Cross-functional collaboration

Partnership building

Emotional intelligence

Critical thinking

Goal alignment

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

NVIDIA NVAIE

Azure AI

Job description

EY is seeking an experienced Lead AI Software Architect to steer a team of domain architects in designing and implementing AI Agent Control at scale. You will lead explorations of tool usage, state management, policy definition, and multiagent APIs while driving performance benchmarking against expert and AI evals.

You will collaborate across AI, Security, Data and Infrastructure teams, mentor engineers, and contribute to IP filings and conferences.