Senior Manager - AI Architecture Tech Lead
$144,000 to $329,100
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Posted yesterday
SENIORITY
Manager
SALARY
$144,000 to $329,100
About the role
- 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 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 RigorApply 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.
- To qualify you must have 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.
- Ideally, you'll also have
- 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.
- What we offer you
- At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- 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. The base salary range for this job is:
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