Infrastructure Operations Lead – Cloud and AI​/GenAI Enablement

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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!

• 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 enterprise’s 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 observability and alerting using AI/ML models for proactive monitoring and self‑healing actions
• Lead R&D of GenAI solutions for predictive alerting, incident triage and infrastructure automation
• Build AI copilots and natural language tools for infrastructure operations teams
• Integrate LLMs into observability platforms for real‑time RCA and log summarization
• Pilot and product ionize GenAI‑based assistants, bots, and copilots to support ticket triage, knowledge management and resolution workflows
• Identify automation opportunities and implement AI‑enhanced runbooks, workflows and self‑healing mechanisms
• Contribute to a strategic roadmap for GenAI maturity within Infrastructure & Operations, including tools, governance and organizational readiness
• Partner with internal data science and clinical innovation teams to create proofs of concept, build ML/GenAI pipelines, and integrate with existing tool chains (e.g., Service Now, Splunk, Terraform)
• Autonomous log summarization, RCA generation and playbook suggestions
• Natural language interfaces for querying system health or telemetry
• Act as a GenAI ambassador, helping Infrastructure Operations teams upskill in AI‑augmented technologies and use cases

• Bachelor's in Computer Science, Artificial Intelligence,…