Senior AI Architecture Leader - Foundation Models & Trust

EY; City of Rochester (NY); Remote; USD 144,000 - 374,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Flexible vacation policy

Job summary

EY seeks a strategic Senior Manager Architect to lead AI architecture across Knowledge, Trust, and Control/Harness blocks, spanning foundation models to NLP/vision systems. The role blends hands-on delivery with cross-functional coordination to enable enterprise AI adoption with robust compliance and monitoring.

The ideal candidate will drive design across enterprise AI components, integrate vendor tools for security and governance, and guide firmwide AI adoption while maintaining expert

Qualifications

• 10+ years of experience in enterprise architecture, governance, or compliance tech.
• Bachelor’s Degree in a relevant field.
• Knowledge of AI Foundation Model frameworks (e.g., Llama, Gemini, Claude, OpenAI, Mistral, Deepseek).
• Experience with observability, safety and governance tooling.
• Familiar with Agentic AI platforms (Nvidia, MSFT, Crew).
• Proven track record in building and delivering large-scale enterprise platforms.

Responsibilities

• Oversee the design and implementation of AI agentic systems and frameworks based on foundation models, LLM, and SLM.
• Integrate external vendor tools for model monitoring, security, and compliance.
• Collaborate with EY teams to align AI initiatives.
• Serve as a player-coach, contributing to technical delivery while coordinating firmwide AI adoption.
• Be a true expert across Knowledge, Trust, and Control/Harness AI systems and their applications to customer opportunities and internal horizontal platform development.

Skills

Leadership

Governance

Strategic thinking

Cross-functional

AI knowledge

Education

Bachelor’s Degree in a relevant field

Tools

NVIDIA

MSFT

Crew

Job description

EY seeks a strategic Senior Manager Architect to lead AI architecture across Knowledge, Trust, and Control/Harness blocks, spanning foundation models to NLP/vision systems. The role blends hands-on delivery with cross-functional coordination to enable enterprise AI adoption with robust compliance and monitoring.

The ideal candidate will drive design across enterprise AI components, integrate vendor tools for security and governance, and guide firmwide AI adoption while maintaining expert