Lead AI Architect & Agent Control Lead — Hybrid

EY; Indianapolis (IN); Hybrid; USD 144,000 - 374,000; Full time

Benefits offered by this job

Hybrid work model

Medical & dental coverage

401(k) retirement plan

Paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to spearhead a team of domain architect experts in designing and implementing universal AI Agent Control. You will oversee architectures for multi-agent systems, agent identity, and post-training environments, driving synthesis models and performance benchmarking against AI and human evals.

You will collaborate with AI, Security, Data and Infrastructure teams, mentor engineers, and contribute to IP filings while advancing EY's hybrid work

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

Multi-agent systems

AI toolchain

Python scripting

Go/Rust/Java

Security & auth

CI/CD tooling

Cloud AI stacks

Leadership

Cryptography

Education

Advanced degree in EE/CS/Math

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

NVIDIA NVAIE

Job description

EY is seeking an experienced Lead AI Software Architect to spearhead a team of domain architect experts in designing and implementing universal AI Agent Control. You will oversee architectures for multi-agent systems, agent identity, and post-training environments, driving synthesis models and performance benchmarking against AI and human evals.

You will collaborate with AI, Security, Data and Infrastructure teams, mentor engineers, and contribute to IP filings while advancing EY's hybrid work