The Manager, AI Operations and Enablement provides technical leadership and vision for the AI Operations and Enablement team, overseeing MLOps Engineers, AI Engineers, and Architects responsible for building and scaling WGU’s enterprise AI/ML platform
Job Summary
The Manager, AI Operations and Enablement provides technical leadership and vision for the AI Operations and Enablement team, overseeing MLOps Engineers, AI Engineers, and Architects responsible for building and scaling WGU’s enterprise AI/ML platform.
This role requires a service provider mindset, utilizes Agile practices, and includes technical guidance and oversight for the development, deployment, and governance of both traditional machine learning models and generative AI applications.
This position offers the opportunity to directly influence the experience of over 10,000 staff and 180,000 students by enabling AI-driven solutions that enhance student outcomes, streamline operations, and scale personalized learning.
Matching Summary
The Manager, AI Operations and Enablement provides technical leadership and vision for the AI Operations and Enablement team, overseeing MLOps Engineers, AI Engineers, and Architects responsible for building and scaling WGU’s enterprise AI/ML platform.
Salary
Base: $170,400.00 - $281,200.00; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, retirement savings plan, flexible paid time off
Skills & Requirements
Must-have
enterprise AI/ML platform
MLOps and LLMOps processes
Generative AI technologies
responsible AI practices
Python programming language
Nice-to-have
service provider mindset
Agile practices
culture of experimentation
AI evangelist
Key Requirements
7+ years of experience in Software Engineering, Data Science, or Machine Learning
5+ years of experience working in an AI/ML context
5+ years of experience building MLOps pipelines
2+ years of hands-on experience with GenAI technologies
3+ years of experience leading a Data Science, ML, or AI-focused team
B.S. and M.S. degree in Computer Science, Software Engineering, Data Science, Machine Learning, Math, Physics, or related field