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Strong employer brand and metro location increase applicant density despite niche LLM platform specialization.
Platform and IaC skills transfer broadly, though LLM specialization and healthcare governance increase domain specificity.
Multiple mandatory IaC, Kubernetes, monitoring skills and enterprise healthcare governance increase filtering strictness.
Automate provisioning, configuration, and lifecycle management of Large Language Model (LLM) runtimes, embedding pipelines, vector databases, and knowledge ingestion services.
Deploy and manage LLM configurations and related tools across environments using Ansible and IaC practices on Kubernetes platforms like Tanzu or EKS.
Integrate ITSM platforms (ServiceNow/First) with automation tools (Terraform, Ansible) to streamline AI platform service requests and manage performance and reliability via monitoring tools.
Experience with automation tools such as Ansible and Terraform for provisioning and configuration management.
Hands-on experience with Kubernetes platforms (Tanzu, EKS, or equivalent) and Infrastructure as Code (IaC) methodologies.
Familiarity with ITSM integrations, including ServiceNow and First, and monitoring/observability tools like SolarWinds, Prometheus, Grafana, or CloudWatch.
Work Experience Required: Not explicitly mentioned in the JD.
Strong technical expertise in enterprise AI Ops and Large Language Model platform deployment and automation.
Experience working in global, cross-functional teams involving platform architects, engineers, and IT operations.
Ability to own platform reliability, scalability, governance, and continuous improvement in an enterprise AI or automation environment.