Domain Architect - Control Intelligence - Manager

About the role

We're looking for a Lead AI Software Architect to lead a team of domain architect experts in designing and implementing AI Agent Control. This role involves extensive experience in agent control, including tool usage, state management/persistence, execution environment control, policy definition, and application.

Responsibilities

• Design of control harness intelligence systems including multiagent systems and associated tools and scaffolding.
• 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.
• Drive agent design requirements and implement through AI Native design process.
• Assess 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.
• Lead a team of experts in building a universal agentic control harnesses.

Requirements

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. Familiarity with scripting languages (Python, Bash, Typescript etc….) and software languages (Go, Rust, Java etc…).

Qualifications

Experience with AI native software development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub). 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.

Skills and Attributes

• Strong analytical and troubleshooting skills.
• Ability to lead software architectural product functions and mentor junior engineers.
• Comfort working across cross-functional teams and managing competing priorities.
• Leverage emotional agility and hybrid collaboration to navigate diverse stakeholder needs and drive long-term engagement.
• Use critical thinking and creative reasoning to address complex problems and exceed expectations.
• Align cross-functional teams around shared goals, ensuring accountability and progress.
• Use emotional intelligence and hybrid collaboration to motivate others and deliver high-impact results.

Benefits

Comprehensive compensation and benefits package including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Pay

The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600.

Schedule

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.