AI Agent Architect & Control Systems Lead

EY

New York (NY)

Hybrid

USD 151,000 - 262,000

Full time

41 hours ago
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Benefits offered by this job

Hybrid model
Flexible vacation policy
Total Rewards package

Job summary

EY is seeking an experienced AI Software Architect to lead design and implementation of AI Agent Control. You will craft architectures for identity, authentication, and authorization across large-scale multi-agent systems, and oversee post-training environments and synthesis models.

Collaborate with cross-functional teams to drive secure, scalable AI solutions. You will prototype and evaluate agent control frameworks, mentor engineers, and contribute to IP filings while engaging with academic

Qualifications

  • Advanced degree in engineering/computer science or math.
  • 5+ years in software engineering and AI.
  • Experience with multi-agent system administration and secrets management.
  • Familiarity with AI native development tools.
  • Proficient in scripting languages (Python, Bash, TypeScript) and languages (Go, Rust, Java).
  • Knowledge of AI native design principles.
  • Experience with cryptographic identity and auth methods.
  • Experience with IDEs, CI/CD, code hosting (GitHub/GitLab/Azure DevOps).
  • Experience with Nvidia NVAIE, AWS and Azure AI stacks.

Responsibilities

  • Design architectures for agent identity and authentication in large scale multi-agent enterprise systems.
  • Design post training and tuning/customization environments.
  • Design synthesis models for AI open source models.
  • Implement and test architectures benchmarking performance against agent and human evals.
  • Design comprehensive AI Agent control frameworks.
  • Drive agent design requirements and implement through AI Native design process.
  • Assess emerging agent authorization architectures and frontier model proposals.
  • Collaborate with architectural experts in AI, Security, Data and Infrastructure.
  • Support strategic business development activities for emerging technology.
  • Present at academic conferences and support IP filings.
  • Hands on development of advanced AI capabilities in agentic control.

Skills

Advanced degree
5+ years experience
Multi-agent system admin
AI native tools
Scripting languages
Programming languages
AI native design
Identity & auth cryptography
CI/CD / IDE
Cloud AI stacks (NVIDIA NVAIE, AWS, MS

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 lead design and implementation of AI Agent Control. You will craft architectures for identity, authentication, and authorization across large-scale multi-agent systems, and oversee post-training environments and synthesis models.

Collaborate with cross-functional teams to drive secure, scalable AI solutions. You will prototype and evaluate agent control frameworks, mentor engineers, and contribute to IP filings while engaging with academic

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