Lead Agent Architect - Senior Manager

About the role

We're looking for a Senior Manager Architect to lead the design and implementation of high autonomy Agentic AI systems in the enterprise. This role involves overseeing the design and implementation of AI agentic systems and frameworks based on foundation models, LLM, and SLM. It also requires integrating external vendor tools for model monitoring, security, and compliance. The successful candidate will lead and mentor a team building advanced multi-agent capabilities for EY businesses and customers.

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 in knowledge 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 knowledge AI trends and model architectures for the timely adoption of emerging AI technology.

Requirements

• 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.
• 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.
• Lead with Insight and Analytical Rigor.

Attributes for Success

• Knowledge of AI Foundation Model frameworks, Llama, Gemini, Claude, OpenAI, Mistral, Deepseek etc...
• Experience with observability, safety and governance tooling.
• Familiarity with Agentic AI platforms (Nvidia, MSFT, Crew etc…).
• Familiarity with Agentic Patterns & Frameworks: Orchestration, Loop Engineering, Memory system integration.
• Familiarity with AI native development.
• Proven track record in building and delivering large-scale enterprise platforms.
• Ideal Master's 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.

What We Offer

• Comprehensive compensation and benefits package.
• Flexible vacation policy.
• Winter/Summer breaks.
• Personal/Family Care.
• Other leaves of absence.