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Infrastructure Operations Lead – Cloud and AI​/GenAI Enablement

Job in Madison, Dane County, Wisconsin, 53774, USA
Listing for: Humana Inc
Full Time position
Listed on 2026-01-05
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Become a part of our caring community and help us put health first

The ideal candidate brings a passion for emerging technologies, a strong foundation in Infrastructure Operations and the curiosity and rigor to build next-generation capabilities that improve healthcare delivery, reduce risk and optimize operational performance. If you’re passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results, then Humana’s Infrastructure Operations team could be the place for you!

The Lead is an expert in 24/7 operations with high performing and scaling systems that meet a high degree of uptime. An expert in all facets of Cloud and DC hosting operations with the ability to effectively communicate with customers and internal stake holders. The ideal candidate will have expert knowledge in Kubernetes (AKS/GKE) and has previous hands‑on experience in containerized environments using Automation capabilities.

In addition, this Leader will spearhead the research, evaluation and deployment of Artificial Intelligence (AI) and Generative AI (GenAI) capabilities within the Infrastructure Operations domain. This role will blend traditional Infrastructure management with next‑generation AI‑driven automation, predictive analytics, and intelligent operational enhancements to improve system reliability, efficiency and scalability.

By bridging traditional IT Operations with emerging AI technologies, this role will accelerate digital transformation, enhance system reliability, and reduce operational overhead—all while ensuring compliance with healthcare regulations (e.g., HIPAA, PHI). This individual will serve as a technical innovator and cross‑functional collaborator, driving the roadmap for AI‑augmented Infrastructure Operations in a high‑impact, patient‑centered environment.

Key Responsibilities:
  • Lead and provide direction for our Managed Service Provider (MSP)
  • Lead Managed Service Provider in Operations for Azure, GCP and AWS Cloud environment
  • Drives moderate to complex processing improvements through optimization, enhancements and implementation of new operational features and functions around Cloud compliance, metrics/reporting and cost optimization
  • Provide senior level expertise on decisions and priorities regarding the enterprises overall Cloud Operations strategy, consumption, and optimization opportunities - understand Cost controls and the various cost optimization techniques
  • Identifies, drives and assists in the implementation of opportunities to standardize Cloud environments
  • Provides Cloud governance, processes and technical advisory support to business units and projects by working cross‑functionally and provides recommendations that support the business needs
  • Participant as required (Level 2/3 escalation point) for Incident Management
  • Participate and develop client relationships within Operations, Business partners, Managed Service Providers and Cloud Providers
  • Work with cross‑functional teams to support the engineering and implementation of new Cloud applications or solutions and define the related risks and onboard new capabilities
  • Ability to communicate at all levels within an organization and influence strategic direction
  • Ability to work with minimal supervision, making decisions based upon priorities, schedules and understanding business initiatives
  • This leader will explore and prototype AI‑driven solutions to automate incident response, predict system failures, summarize complex telemetry data, and develop intelligent copilots to support Operations teams
  • Lead research and evaluation of cutting‑edge AI and GenAI tools applicable to Infrastructure Operations (e.g., LLMs, vector databases, predictive analytics)
  • Design and prototype AI‑driven systems for automated incident detection, anomaly classification, infrastructure forecasting/resiliency – leading to lower MttR and manual overhead in mission‑critical environments
  • Develop and lead the strategic roadmap for AI adoption in Infrastructure Operations
  • Collaborate with Infrastructure and Cloud Operations teams to pilot and integrate AI/GenAI features into critical workflows
  • Modernize…
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