Senior AI Architect & Lead Agent Control Systems

EY

Stamford (CT)

Hybrid

USD 144,000 - 374,000

Full time

31 hours ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Flexible paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to lead a team of domain architects in designing and implementing AI Agent Control. The role emphasizes scalable agent models, authentication, observability, and secure execution across environments.

You will collaborate with AI, Security, Data and Infrastructure teams, mentor engineers, drive design decisions, and contribute to IP filings. EY offers a hybrid work model, competitive compensation, medical and retirement benefits, and strong

Qualifications

Advanced degree required 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.