Strategic AI Architecture Lead

EY

New York (NY)

Hybrid

USD 173,000 - 359,000

Full time

8 days ago

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Job summary

EY is seeking a Senior Manager Architect to lead enterprise AI architecture spanning Knowledge, Trust, and Control/Harness blocks. The role covers Foundation Model management, Safety, Agentic design, AI integration, and future NLP/ VLM directions.

Balances hands-on delivery with cross-functional coordination to enable enterprise AI adoption with robust compliance. You'll partner with EY teams to implement scalable governance, monitoring, and integration, serving as senior advisor across

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.
Masters or PhD degree in Computer Science, Electrical Engineering, or Mathematics
Familiarity with AI/ML lifecycle management and responsible AI practices.
Experience integrating governance tools into hybrid cloud environments.
Ability to influence senior stakeholders and drive alignment across teams.

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.