Lead AI Architect — Hybrid, Transform Agent Control

Ernst & Young Oman

Nashville (TN)

Hybrid

USD 144,000 - 329,000

Full time

14 days+

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Job summary

EY seeks an experienced Lead AI Software Architect to head a team of domain experts in designing AI Agent Control. You will drive architectures for multi-agent systems, authentication, and post-training environments, while advancing novel AI capabilities.

The role combines hands-on development with strategic collaboration across AI, Security, and Infrastructure teams. The position requires 10+ years in software engineering and AI, advanced degrees, and strong leadership.

Qualifications

Advanced degree in Electrical Engineering, Computer Science or Mathematics.
10+ years of experience in software engineering and AI.
Experience with multi-agent systems and modern secrets management.
Familiarity with AI native development tools and code assist.
Proficiency in scripting languages (Python, Bash, Typescript) and languages like Go, Rust, Java.
Understanding of AI Native design processes and cryptographic identity methods.
Experience with CI/CD pipelines and modern code hosting platforms.

Responsibilities

Design control harness intelligence systems for multi-agent environments.
Architect agent identity/authentication for large scale systems.
Lead post-training and tuning environments for AI agents.
Develop synthesis models for open-source AI models.
Implement benchmarks to evaluate agent vs. human performance.
Collaborate with AI, Security, Data and Infrastructure teams to deliver balanced outcomes.
Support strategic business development for emerging technology.
Present at academic conferences and contribute to IP development.
Hands-on development of advanced AI capabilities in agentic control.
Lead a team of experts in building universal agentic control harnesses.