Lead AI Agent Control Architect | Hybrid / Flexible PTO

Ernst & Young Oman

San Antonio (TX)

Hybrid

USD 126,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Medical coverage
Dental coverage
Pension & 401(k)
Paid time off
Hybrid work model

Job summary

EY is seeking an experienced AI Software Architect to design and implement AI Agent Control at scale. You will lead architectures for agent identity, authentication, and post-training environments, while collaborating across AI, security, and data teams. This role emphasizes hands-on development, research, and engagement with industry standards.

Join EY's hybrid team to shape future AI capabilities, contribute to IP filings, and support strategic business development in a fast-paced environment.

Qualifications

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

Responsibilities

  • Design architectures for agent identity and authentication in large scale multi-agent systems.
  • Design post training and tuning/customization environments.
  • Design synthesis models for AI open source models.
  • Implement and test architectures, benchmarking performance.
  • Design comprehensive AI Agent control frameworks.
  • Drive agent design requirements through AI Native design process.
  • Research emerging agent authorization architectures and frontier models.
  • Collaborate with AI, Security, Data and Infra teams for balanced outcomes.
  • Support business development for emerging technology.
  • Present at conferences and support IP filings.
  • Hands-on development of advanced AI capabilities in agentic control.

Skills

AI experience
Software engineering
Multi-agent systems
Secrets management
AI development tools
Python
Go/Rust/Java
AI Native design

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 AI Software Architect to design and implement AI Agent Control at scale. You will lead architectures for agent identity, authentication, and post-training environments, while collaborating across AI, security, and data teams. This role emphasizes hands-on development, research, and engagement with industry standards.

Join EY's hybrid team to shape future AI capabilities, contribute to IP filings, and support strategic business development in a fast-paced environment.

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