Elevance Health
Elevance Health
Elevance Health je podjetje na področju zdravstva in zdravstvenega zavarovanja, ki razvija širši in dolgoročni pristop k podpori zdravju ljudi. Njegovo delo združuje zdravstvene ugodnosti, integrirane storitve za celostno zdravje in digitalne zdravstvene zmogljivosti, zasnovane za učinkovitejše povezovanje zdravstvene oskrbe in zavarovalnega kritja. Z zaposlenimi, ki jih je skoraj 100.000 in skrbijo za več kot 118 milijonov ljudi, Elevance Health ponuja delovna mesta v veliki multidisciplinarni organizaciji, osredotočeni na izboljšanje zdravstvenih izidov, razvoj zdravstvenega sistema in podporo močnejšim skupnostim.

Principal Cloud Engineer, AI/ML

Lead development of production AI agents, cloud platforms, and FinOps tools for Elevance Health’s healthcare business. This hybrid role focuses on secure enterprise architecture and application transformation.

Opis

  • Design and operate AI capabilities for cloud engineering, platform provisioning, FinOps, developer onboarding, and application transformation.
  • Build production AI agents, reusable skills, and Model Context Protocol integrations.
  • Deploy AI capabilities across application code, infrastructure as code, APIs, CI/CD pipelines, and production environments.
  • Develop agents for cloud account and project requests, landing zone setup, access and policy checks, deployment guidance, incident triage, cost optimization, and migration readiness.
  • Build and maintain MCP services that connect cloud platform APIs, automation, inventory, telemetry, cost data, and operational knowledge.
  • Automate account provisioning and developer onboarding, from intake and prerequisite checks through environment setup and platform handoff.
  • Improve Kubernetes-based Containers as a Service with self-service and AI-assisted workload onboarding, policy checks, observability, troubleshooting, and remediation.
  • Develop FinOps tools and agents for cost allocation, tagging, anomaly detection, rightsizing, forecasting, commitment use, waste reduction, and optimization.
  • Create application transformation tools for discovery, dependency analysis, cloud readiness, containerization, migration planning, modernization, and repeatable implementation.
  • Work with enterprise AI, security, responsible AI, architecture, and application teams on standards, approved models, risk reviews, identity, data protection, audit, evaluation, and lifecycle controls.
  • Track product and operational metrics, support production incidents, gather customer feedback, and improve adoption, reliability, latency, cost, and developer experience.
  • Lead technically through reference implementations, code reviews, pairing, and mentoring.
  • Maintain architecture strategy, vision, enterprise blueprints, standards, principles, frameworks, and reference models.
  • Coordinate enterprise conceptual architecture components and monitor their reuse.
  • Guide system migrations in line with enterprise and domain roadmaps.
  • Provide ongoing consulting and architectural direction across projects.

Zahteve

  • Bachelor’s degree in information technology, computer science, or a related field and at least eight years of relevant architecture or design experience, or an equivalent combination of education and experience.
  • Recent hands-on experience building and operating production cloud platforms and software.
  • Ability to write and review application code, infrastructure as code, APIs, automated tests, CI/CD pipelines, and operational tools.
  • Deep experience with at least one major public cloud provider and core cloud platform patterns.
  • Experience provisioning organizations, accounts, subscriptions, or projects, and working with landing zones, identity and access management, networking, policy, logging, and monitoring.
  • Experience building or operating Kubernetes and container platform capabilities.
  • Strong software engineering skills in Python, Go, TypeScript, or Java.
  • Experience building APIs, event-driven integrations, SDKs, automation services, and reusable platform components.
  • Hands-on experience building production generative AI or agent solutions.
  • Experience with tool or function calling, orchestration, context and retrieval, state management, structured outputs, automated evaluation, observability, and guardrails.
  • Experience building MCP servers or clients, or comparable agent-to-tool integrations.
  • Experience with authentication and authorization, schema and version management, error handling, policy enforcement, and audit logging.
  • Experience with Terraform or CloudFormation, secure CI/CD and DevSecOps, secrets management, least-privilege access, and production support.
  • Working knowledge of FinOps and cloud cost management.
  • Experience supporting application migration, modernization, containerization, or platform onboarding programs.
  • Experience integrating agents with developer portals, IDEs, command-line tools, chat interfaces, or workflow automation platforms.
  • Experience implementing responsible AI controls, AI security testing, agent evaluation, and human approval patterns in production.
  • Experience in regulated environments, preferably healthcare.
  • Ability to collaborate effectively across matrixed enterprise teams.
  • Must live within reasonable commuting distance of a posting location unless granted an accommodation.
  • Not eligible for current or future visa sponsorship.

Ugodnosti

  • Merit increases
  • Paid holidays
  • Paid time off
  • Incentive bonus programs
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Short-term disability benefits
  • Long-term disability benefits
  • 401(k) match
  • Stock purchase plan
  • Life insurance
  • Wellness programs
  • Financial education resources
  • Hybrid work flexibility
  • Professional and personal growth opportunities

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