Elevance Health is a healthcare and health insurance company building a broader, long-term approach to supporting people’s health. Its work combines health benefits, integrated whole-health services, and digital health capabilities designed to connect care and coverage more effectively. With a workforce of nearly 100,000 associates serving more than 118 million people, Elevance Health offers roles across a large, multidisciplinary organization focused on improving health outcomes, evolving the healthcare system, and supporting stronger communities.
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.
Description
- 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.
Requirements
- 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.
Benefits
- 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