Infrastructure Operations Lead Cloud and AI GenAI Enablement

About the role

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.

Responsibilities

• Lead and provide direction for our Managed Service Provider (MSP)
• 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
• Identifies, drives and assists in the implementation of opportunities to standardize Cloud environments
• Provide Cloud governance, processes and technical advisory support to business units and projects by working cross-functionally and providing recommendations that support the business needs
• Participate and develop client relationships within Operations, Business partners, Managed Service Providers and Cloud Providers
• 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 cross-functional teams to support the engineering and implementation of new Cloud applications or solutions and define the related risks and onboard new capabilities
• 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
• Pilot and productionize GenAI-based assistants, bots, and copilots to support ticket triage, knowledge management and resolution workflows
• 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

Requirements

• 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)
• Strong problem-solving and experimentation mindset, with the ability to move from concept to pilot rapidly
• Hands on scripting experience using one of the following: Terraform, Cloud Formation, PowerShell, Azure CLI, Python, JSON, Perl or Bash

Preferred

• Master's degree
• 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

Additional Information

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 25x10 (25mpbs download x 10mpbs 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