Senior AI Architecture Lead: Enterprise Trust & Control

EY; San Mateo (CA); Hybrid; USD 180,000 - 374,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking a Senior Manager Architect to lead enterprise AI architecture across Knowledge, Trust and Control blocks. Drive foundation model management, safety, agentic design, and NLP/VLM initiatives with hands-on delivery and cross-team coordination.

Role emphasizes compliance, monitoring, integration, and scalable governance across the firm, with a focus on shaping enterprise AI adoption and innovation in a hybrid work environment.

Qualifications

• 10+ years of experience in enterprise architecture, governance, or compliance technology.
• Bachelor’s Degree in a relevant field.
• Knowledge of AI Foundation Model frameworks and related platforms.
• Experience with observability, safety and governance tooling.
• Familiar with Agentic AI platforms.
• Proven track record delivering large-scale enterprise platforms.

Responsibilities

• Oversee 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 an expert across Knowledge, Trust, and Control/Harness AI systems and applications.
• Member of the Enterprise Architecture council guiding initiatives to success.
• Maintain knowledge of AI trends and governance patterns for timely adoption.

Skills

Strategic leadership

Cross-functional collaboration

Governance & compliance

AI foundations knowledge

Enterprise architecture

Stakeholder management

Education

Bachelor's Degree

Masters/PhD preferred

Tools

Observability tooling

Governance tooling

Job description

EY is seeking a Senior Manager Architect to lead enterprise AI architecture across Knowledge, Trust and Control blocks. Drive foundation model management, safety, agentic design, and NLP/VLM initiatives with hands-on delivery and cross-team coordination.

Role emphasizes compliance, monitoring, integration, and scalable governance across the firm, with a focus on shaping enterprise AI adoption and innovation in a hybrid work environment.