Senior AI Architecture Lead – Knowledge, Trust & Control

Ernst & Young Oman; Irvine (CA); On-site; USD 144,000 - 329,000; Full time

Job summary

EY is seeking a Senior Manager Architect to lead enterprise AI architecture across Knowledge, Trust, and Control/Harness blocks, guiding foundation model management, safety, agentic design, and integration across the enterprise.

The role balances hands-on delivery with cross-functional coordination to ensure enterprise AI adoption through robust governance, monitoring, and control practices.

Qualifications

• 10+ years of experience in enterprise architecture, governance, or compliance technology.

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.
• Member of the Enterprise Architecture council guiding initiatives to success.
• Maintain current knowledge of AI trends, model architectures, trust frameworks, and control/harness patterns for the timely adoption of emerging AI technology.

Skills

Leadership

Cross-functional communication

Strategic mindset

Adaptability

Influence senior stakeholders

Education

Bachelor’s Degree in a relevant field

Tools

AI Foundation Model frameworks

Observability & governance tooling

Agentic AI platforms (Nvidia, MSFT, Crew)

Large-scale enterprise platforms deployment

Job description

EY is seeking a Senior Manager Architect to lead enterprise AI architecture across Knowledge, Trust, and Control/Harness blocks, guiding foundation model management, safety, agentic design, and integration across the enterprise.

The role balances hands-on delivery with cross-functional coordination to ensure enterprise AI adoption through robust governance, monitoring, and control practices.