Enterprise AI Architecture & Governance Lead

EY; Detroit (MI); Hybrid; USD 144,000 - 374,000; Full time

Benefits offered by this job

Total Rewards package

Comprehensive benefits

Flexible vacation policy

Job summary

EY is seeking a Senior Manager Architect to lead enterprise AI architecture across Knowledge, Trust, and Control/Harness areas. The role balances hands-on delivery with cross-functional coordination, ensuring robust governance, monitoring, and integration of AI solutions across the enterprise.

The ideal candidate brings 10+ years in enterprise architecture and a track record delivering large-scale platforms, with strong leadership and stakeholder management in a hybrid work environment.

Qualifications

• 10+ years in enterprise architecture, governance, or compliance tech.
• Bachelor’s Degree required; advanced degrees valued.
• Knowledge of AI Foundation Model frameworks, Llama, Gemini, Claude, OpenAI, Mistral, etc.
• Experience with observability, safety, and governance tooling.
• Familiar with Agentic AI platforms (Nvidia, MSFT, Crew).
• Proven track record delivering large-scale enterprise platforms.

Responsibilities

• Oversee design and implementation of AI agentic systems based on foundation models.
• Integrate external vendor tools for model monitoring, security, and compliance.
• Collaborate with EY teams to align AI initiatives.
• Serve as a player-coach, guiding technical delivery while coordinating firmwide AI adoption.
• Be the go-to authority for Knowledge, Trust, and Control/Harness AI development.

Skills

Leadership

Cross-functional communication

Governance translation

Strategic mindset

Hybrid work adaptability

Analytical rigor

Hands-on development

Stakeholder influencing

Education

Bachelor’s Degree

Masters or PhD (preferred)

Job description

EY is seeking a Senior Manager Architect to lead enterprise AI architecture across Knowledge, Trust, and Control/Harness areas. The role balances hands-on delivery with cross-functional coordination, ensuring robust governance, monitoring, and integration of AI solutions across the enterprise.

The ideal candidate brings 10+ years in enterprise architecture and a track record delivering large-scale platforms, with strong leadership and stakeholder management in a hybrid work environment.