Sr. Director, AI Center of Excellence (CoE)
Alight SolutionsAbout the role
Sr Director AI Center of Excellence
Amazing Opportunity and Great Place to Work!
Are you a fast learner who is fascinated by technology?
Our Story
At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.”
Our Values
Champion People – be empathetic and help create a place where everyone belongs.
Grow with purpose – be inspired by our higher calling of improving lives.
Be Alight – act with integrity, be real and empower others.
It’s why we’re so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation.
With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work.
Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight.
Learn more at careers.alight.com.
“This role supports services provided to the federal government or federal government contractor and therefore requires US Citizenship. Proof of citizenship status will be required at time of hire.”
About the Role
The Sr. Director, AI Center of Excellence (CoE), leads Alight's enterprise AI strategy and delivery. This leader brings together platform engineering, product management, and solution development to create an environment where teams across the organization can safely, confidently, and creatively use Generative and Agentic AI at scale.
You will guide the full lifecycle of AI enablement-from platform evaluation and standards, through intake and prioritization, to delivery and long‑term operations. This role oversees the Core Platform team, AI Factory delivery teams, and the CoE Management function, fostering a culture rooted in collaboration, inclusion, continuous learning, and responsible AI.
Responsibilities
Core Platform Team - Foundation & Enablement
- Builds the platforms, standards, and reusable components that make AI development safe, scalable, and consistent.
- Focus areas include enterprise AI platforms (AWS Bedrock, IBM Watson), responsible AI practices, reference architectures (RAG, vector search, agents), API/integration patterns, and production excellence through CI/CD, IaC, monitoring, and cost optimization.
- Set the vision, operating model, and roadmap for Alight's AI capabilities.
- Mentor leaders across engineering, product, and operations.
- Champion responsible innovation, speed, and thoughtful risk management
AI Factory Teams - Solution Delivery
- Delivers practical and sustainable AI solutions using a consistent, repeatable model.
- Teams work in flexible pods, partner closely with stakeholders, and execute through discovery → prototype → MVP → production → scale-always aligned to CoE standards, business value, and long‑term maintainability.
- Ensure Factory teams deliver high‑quality, production‑ready solutions.
- Drive adoption, measurable value, and clear ownership models.
CoE Management Team - Intake & Operations
- Ensures predictable, transparent CoE operations.
- This includes intake and prioritization, capacity and resource planning, cost models, delivery estimates, and portfolio‑level reporting on progress, value, and financial health.
- Lead enterprise AI platform strategy (AWS Bedrock, IBM Watson).
- Create standards, guardrails, and architectures that enable safe, repeatable AI development.
- Promote reuse, consistency, and responsible AI across initiatives.
- Provide visibility into demand, capacity, cost, and value delivered.
- Support informed investment and prioritization decisions.
- Improve efficiency, predictability, and cost‑effectiveness.
Product Management Partnership
- Embedded product leaders define platform roadmaps, translate business needs into clear requirements, and partner with engineering and delivery to ensure measurable outcomes.
Requirements
- 10+ years of experience in engineering, platform, or similar technical leadership roles
- 5+ years leading multi‑team or cross‑functional organizations
- Experience scaling enterprise platforms or delivery models
- Understanding of Generative/Agentic AI development patterns
- Expe
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