Associate Director, AI Enablement

Become a part of our caring community   At Humana, we are on a mission to provide an exceptional experience for our community of developers, testers, product owners, and business partners that deliver software products for our members. We believe that happy and productive delivery teams create essential features that enhance our members' well-being and overall experience with our Humana products. As the Associate Director of AI Enablement in the Enterprise Engineering Enablement organization, you will play a crucial role in building Humana's Agentic Development Lifecycle (ADLC) — an AI-native software delivery platform program with four dedicated tracks, a published governance framework, and hard targets for reuse, uptime, cost, and regulatory defensibility in a HIPAA-regulated environment. Your work will be transformational for our company as we seek to enable enhanced productivity across a wide range of IT disciplines. The ideal candidate for this role will need to have a unique mix of leadership experience, proficiency with applying modern Agile, Engineering, and DevOps practices to enable software delivery, strong public speaking skills, and be exceptional at leading people through change. You will need to have the skillset to apply your software delivery expertise to an entire IT organization, be the catalyst for an enterprise-wide organizational change effort, and simultaneously ensure smooth product and platform engineering delivery for your own teams responsibilities. You will need to be comfortable working within and leading a matrixed team where influence is more important than official reporting structure. Finally, you will need to have a passion for enablement, coaching, and teaching in order to assist agile and operations teams with adopting new technologies and new ways of working using GAI. Use your skills to make an impact   Required: 15+ years in software engineering, with 5+ years leading engineering managers, leads, or multiple squads Demonstrated ownership of a multi-track or platform-scale program (3+ parallel workstreams, 25+ engineers) Hands-on depth in at least two of: distributed systems, platform/SRE engineering, ML/AI engineering, cloud infrastructure Production experience with Kubernetes and at least one major cloud ( GCP, Azure, or AWS ) Working fluency with LLM application development — agent frameworks, prompt engineering, RAG, tool/function calling, evaluation methodology Track record of shipping in a regulated environment with real security and compliance constraints Proven ability to drive alignment across peer organizations without direct authority You have experience with enterprise-grade engineering platforms similar to Azure DevOps Services, GitHub, SonarQube, Artifactory, TFE or their industry standard equivalents. You have experience with cloud technologies, Infrastructure as Code (IaC), Kubernetes, and emerging DevOps trends like 'GitOps' combined with 'pull' based deployment technologies…