AI Agent Control Architect & Systems Lead

EY; Baltimore (MD); Hybrid; USD 126,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking an experienced agent AI Software Architect to design and implement AI Agent Control, including tool usage, state management/persistence, and policy application. The role focuses on agent authentication, observability, and scalable AI solutions within enterprise systems.

The candidate will lead cross-functional teams, collaborate with security, data, and infrastructure, and contribute to IP filings while shaping the future of agentic AI across EY’s global platforms.

Qualifications

• Advanced degree in Electrical Engineering, Computer Science or Mathematics.
• 5+ 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 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.

Skills

AI architecture

Leadership

Cross-functional collaboration

Analytical skills

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

Python

Bash

Typescript

Job description

EY is seeking an experienced agent AI Software Architect to design and implement AI Agent Control, including tool usage, state management/persistence, and policy application. The role focuses on agent authentication, observability, and scalable AI solutions within enterprise systems.

The candidate will lead cross-functional teams, collaborate with security, data, and infrastructure, and contribute to IP filings while shaping the future of agentic AI across EY’s global platforms.