Senior Manager - AI Architecture Tech Lead

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About the role

We’re seeking a strategic and technically adept Senior Manager Architect to lead the design and implementation of AI architecture spanning Knowledge, Trust, and Control/Harness Blocks across the enterprise. The scope of this role is across Foundation Model management, Safety, Agentic design, AI application integration, and future directions for NLP and VLM systems. This role is ideal for someone who can balance hands-on delivery with cross-functional coordination, ensuring enterprise AI adoption through robust compliance, monitoring, integration, and control practices.

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

• Strong leadership and cross-functional communication skills.
• Ability to translate governance requirements into scalable technical solutions.
• Strategic mindset with attention to detail and a predisposition for innovation.
• Comfort working across business, technical, and product domains.
• Embrace emerging technologies and digital tools to enhance collaboration, streamline workflows, and improve service delivery.
• Promote a culture of continuous learning and adaptability in a hybrid work environment.
• Lead with Insight and Analytical Rigor: apply complex problem-solving and critical thinking to evaluate data, identify trends, and make informed decisions.
• Translate insights into actionable strategies that drive measurable outcomes.
• Be the go-to authority for AI expertise across Knowledge, Trust, and Control/Harness Blocks.
• Hands-on development across trust, control, harness, and data capabilities for AI.
• Advisor across Knowledge, Trust, and Control/Harness AI development and engineering.

Requirements

• 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.

Qualifications

• 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.

Benefits

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.

• Medical and dental coverage
• Pension and 401(k) plans
• Wide range of paid time off options
• Flexible vacation policy — you decide how much vacation time you need based on your own personal circumstances
• Designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being

Pay

The base salary range for this job is:

• New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $172,800 to $359,000
• Bay Area California offices – $180,000 to $374,000
• All other office locations in the US, including Sacramento – $144,000 to $329,100

Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography.