Senior AI Architecture & Platform Lead

EY; Providence (RI); Hybrid; USD 144,000 - 359,000; Full time

Job summary

EY invites a Senior Manager Architect to lead enterprise AI architectures spanning Knowledge, Trust, and Control. The scope includes Foundation Model management, Safety, Agentic design, AI integration, and future NLP/ VLM directions.

You balance hands-on delivery with cross-functional leadership, ensuring enterprise AI adoption through governance, monitoring, integration and robust controls.

Qualifications

• 10+ years of experience in enterprise architecture, governance, or compliance technology.
• Knowledge of AI Foundation Model frameworks and leading platforms (e.g., Llama, Gemini, Claude, OpenAI, Mistral).
• Experience with observability, safety and governance tooling.
• Familiar with Agentic AI platforms (Nvidia, MSFT, Crew).
• Proven track record in delivering large-scale enterprise platforms.

Responsibilities

• Oversee AI agentic systems and frameworks based on foundation models, LLM, and SLM.
• Integrate vendor tools for model monitoring, security, and compliance.
• Collaborate with EY teams to align AI initiatives.
• Serve as a player-coach, delivering technical work 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.
• Stay current on AI trends, architectures, trust frameworks, and control patterns.

Skills

Leadership

Cross-functional communication

Governance

Strategic thinking

Innovation

Hybrid work collaboration

Education

Bachelor’s Degree in a relevant field

Masters or PhD in CS/EE/Math

Tools

NVIDIA Agentic AI

MSFT AI tools

Crew AI platform

Job description

EY invites a Senior Manager Architect to lead enterprise AI architectures spanning Knowledge, Trust, and Control. The scope includes Foundation Model management, Safety, Agentic design, AI integration, and future NLP/ VLM directions.

You balance hands-on delivery with cross-functional leadership, ensuring enterprise AI adoption through governance, monitoring, integration and robust controls.