Senior AI Architecture Tech Lead – Enterprise AI

EY; New Orleans (LA); Remote; USD 144,000 - 359,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Paid time off

Job summary

EY seeks a Senior Manager Architect to lead the design and implementation of AI architecture across Knowledge, Trust, and Control/Harness blocks in the enterprise. The role spans Foundation Model management, safety, agentic design, AI integration, and future NLP/ VLM directions, balancing hands-on work with cross-functional coordination.

This position emphasizes governance, observability, and scalable solutions to drive enterprise AI adoption with robust compliance and monitoring practices.

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, Llama, Gemini, Claude, OpenAI, Mistral, Deepseek etc.
• 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.
• Member of the Enterprise Architecture council guiding initiatives to success.

Job description

EY seeks a Senior Manager Architect to lead the design and implementation of AI architecture across Knowledge, Trust, and Control/Harness blocks in the enterprise. The role spans Foundation Model management, safety, agentic design, AI integration, and future NLP/ VLM directions, balancing hands-on work with cross-functional coordination.

This position emphasizes governance, observability, and scalable solutions to drive enterprise AI adoption with robust compliance and monitoring practices.