Infrastructure Operations Lead Cloud and AI GenAI Enablement

Job Overview Become a part of our caring community. The Infrastructure Operations Lead translates business needs into technical systems solutions and architectural roadmaps. The Lead Enterprise Architect works on problems of diverse scope and complexity ranging from moderate to substantial. The Infrastructure Operations 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. Experience communicating updates and resolutions to customers and other partners 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 and enhance system reliability. Additionally, it will reduce operational overhead while ensuring compliance with healthcare regulations, such as HIPAA and 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 Drive 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 Identify, drive and assist in the implementation of opportunities to standardize Cloud environments Provide Coud governance, processes and technical advisory support to business units and projects by working cross‑functionally and provide recommendations that support the business needs Participate 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 Communicate at all levels within an organization and influence strategic direction Work with minimal supervision, making decisions based upon priorities, schedules and understanding business initiatives 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 productionize 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 toolchains (e.g., ServiceNow, 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 Required Qualifications Bachelor's in Computer Science, Artificial Intelligence, Healthcare Informatics, or a related field 10+ years in infrastructure operations or engineering, with at least 3+ years of hands‑on involvement in AI/ML or GenAI R&D Deep understanding of large language models (LLMs), vector databases, retrieval‑augmented generation (RAG), and model orchestration (e.g., LangChain, Haystack) Experience integrating AI/GenAI capabilities with infrastructure automation tools (Terraform, Ansible, Python, Bash) Familiarity with healthcare systems and compliance frameworks (HIPAA, HITRUST) Proficiency with observability and telemetry platforms (e.g., Splunk, DynaTrace, SolarWinds) and AI‑driven monitoring Strong problem-solving and experimentation mindset, with the ability to move from concept to pilot rapidly Experience with Continuous Integration and Deployment Pipelines, e.g., Azure DevOps, Jenkins, Git, GitHub Hands‑on scripting experience using one of the following: Terraform, Cloud Formation, PowerShell, Azure CLI, Python, JSON, Perl or Bash Preferred Qualifications Master's degree in Azure, AWS, GCP, ITIL and/or SRE certifications Experience with GenAI platforms (e.g., Azure OpenAI, Google Vertex AI) Experience deploying or evaluating open‑source LLMs or fine‑tuning models for infrastructure use cases Work‑At‑Home Requirements Must have the ability to provide a high‑speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense. A minimum standard speed for optimal performance of 25 Mbps download x 10 Mbps upload is required. Satellite and Wireless Internet service is NOT allowed for this role. A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Travel Requirements While this is a remote position, occasional travel to Humana’s offices for training or meetings may be required. Scheduled Weekly Hours 40 hours per week. Pay Range $142,300 – $195,700 per year. This job is eligible for a bonus incentive plan based upon company and/or individual performance. Description of Benefits Medical, dental and vision benefits 401(k) retirement savings plan Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave) Short‑term and long‑term disability Life insurance Many other opportunities Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. #J-18808-Ljbffr Humana Inc