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Associate Vice President, GenAI & Agentic Data Science Greater Chattanooga, TN Area + 1 more
About the Role
Greater Chattanooga, TN Area (Hybrid)(Chattanooga, Tennessee)
;Greater Portland, ME Area (Hybrid)(Portland, Maine)
The Company is seeking an Associate Vice President of GenAI and Agentic Data Science to lead teams building, deploying, and scaling AI solutions across the enterprise. Responsibilities include setting direction for AI capabilities, identifying high-value business opportunities, and taking solutions from concept through production while partnering with product and business teams. The role will guide the design of production agentic systems, including orchestration, tool use, retrieval-augmented generation, memory, multi-agent architectures, and human oversight. The leader will establish practices for evaluation, monitoring, governance, security, reliability, and responsible AI, while advising senior executives and developing reusable capabilities across the organization. Candidates must have a bachelor’s degree in computer science, mathematics, data science, operations research, or a related field; a master’s degree is preferred. At least 10 years of experience designing and building scaled AI and machine-learning products is required, including proven success deploying agentic AI systems in production at enterprise scale. Applicants should bring deep expertise in large language models, generative and agentic AI, retrieval-augmented generation, production agent architectures, and strong foundations in data science, machine learning, statistics, and experimentation. Experience with software engineering, DevOps/MLOps, enterprise governance and security, and AI tools and frameworks is expected, along with formal leadership experience developing technical teams and communicating effectively with nontechnical stakeholders.
Functions:
- Data Management/Analytics
- Engineering
Compensation
USD $133,500-$274,100 (salary) per year
About the Company
Market-leading provider of supplemental insurance benefits
Industry
Insurance
Type
Public Company (UNM)
Age
employees
1001-5000