Agent Architect
US$144,000 – US$329,000 / yr base salary
Posted 25 Sep 2026
Advertised as “Lead Agent Architect - Senior Manager”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- People management
- Employment
- Hybrid
| Base salary | US$144,000 – US$329,000 / yr |
|---|
Study levelBachelor's
Field of studyComputer Science, Electrical Engineering, Mathematics
Study levelMaster's or higher
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
We’re seeking a strategic and technically adept Senior Manager Architect to lead the design and implementation of high autonomy Agentic AI systems in the enterprise. The scope of this role if across Foundation Model management, Safety, Agentic design, AI application integration and . This role is ideal for someone who can balance hands-on delivery with cross-functional coordination, ensuring knowledge-based AI adoption through robust compliance, monitoring, and integration practices. The successful candidate will lead and mentor a team building advance multi-agent capabilities for EY businesses and customers.
Your key 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.
Skills and attributes for success
- 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.