Lead AI Architect: Agent Control Systems Leader

Ernst & Young Oman

San Jose (CA)

Hybrid

USD 144,000 - 329,000

Full time

14 days+

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Job summary

EY is seeking an experienced Lead AI Software Architect to lead a team of domain experts in designing and implementing an AI agent control harness. The role focuses on scalable agent design, authentication, post-training environments, and synthesis models across enterprise systems.

The candidate will collaborate with AI, Security, Data and Infrastructure teams, contribute to IP filings, and present at conferences while advancing open research and industry-leading implementations.

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.