Lead AI Architect: Universal Agent Control

Ernst & Young Oman

Hoboken (NJ)

Hybrid

USD 126,000 - 230,000

Full time

8 days ago

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Benefits offered by this job

Hybrid work model
Total Rewards package
Paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to guide a team of domain experts in designing and implementing AI agent control. You will build scalable architectures for multiagent systems, including identity, authentication, and post-training tuning environments.

You’ll collaborate with security, data and infrastructure teams to deliver practical AI solutions and drive strategic technology initiatives, in a flexible hybrid setup within the US.

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 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

Strong analytical skills
Leadership and mentoring
Cross-functional collaboration
Communication

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub

Job description

EY is seeking an experienced Lead AI Software Architect to guide a team of domain experts in designing and implementing AI agent control. You will build scalable architectures for multiagent systems, including identity, authentication, and post-training tuning environments.

You’ll collaborate with security, data and infrastructure teams to deliver practical AI solutions and drive strategic technology initiatives, in a flexible hybrid setup within the US.

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