Principal Cloud Engineer – AI/ML

Elevance Health

. Design, code, integrate, and operate AI-enabled capabilities across account vending and landing zones, Containers as a Service, FinOps, developer onboarding, and application migration and transformation .

Posted 10/13/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating AI-enabled cloud solutions, with a strong focus on production environments, Kubernetes, and FinOps practices. Proficient in building APIs, automation services, and implementing responsible AI controls while collaborating across enterprise teams.

Highest-signal resume keywords

Cloud Platform ArchitectureKubernetes and ContainerizationPython, Go, TypeScript, or JavaCI/CD and Infrastructure as CodeFinOps Practices

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Applicant Tracking System Keywords

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Hard Skills

Cloud Platform DesignProduction Cloud OperationsAPI DevelopmentInfrastructure as CodeKubernetes ManagementGenerative AI SolutionsTerraform or CloudFormationAutomated TestingEvent-Driven IntegrationsPolicy Enforcement

Soft Skills

CollaborationTechnical LeadershipMentoring

Tools & Technologies

CI/CD PipelinesMCP ServersDeveloper PortalsWorkflow Automation PlatformsObservability Tools

Industry Keywords

FinOpsCloud Cost ManagementIdentity and Access ManagementRegulated EnvironmentsHealthcare Compliance

Tech Stack

Tools & technologies

CloudJavaKubernetesPythonTerraformTypeScriptGo

About the role

Key responsibilities & impact

Design, code, integrate, and operate AI-enabled capabilities across account vending and landing zones, Containers as a Service, FinOps, developer onboarding, and application migration and transformation
Create production agents, reusable agent skills, and Model Context Protocol servers and integrations
Deploy AI-enabled capabilities for Cloud Engineering products across application code, infrastructure as code, APIs, CI/CD pipelines, and production environments
Develop production agents and reusable skills for account, subscription, and project requests; landing-zone configuration; access and policy validation; deployment guidance; incident triage; CaaS troubleshooting; cost optimization; and migration readiness
Build and maintain MCP servers, adapters, and supporting services exposing cloud platform APIs, automation, inventory, telemetry, cost data, and operational knowledge
Automate account vending and developer onboarding, including intake, prerequisite checks, guardrail validation, documentation, environment setup, access workflows, and platform-service handoff
Enhance Kubernetes-based CaaS offerings through self-service and AI-assisted workload onboarding, deployment, policy compliance, observability, troubleshooting, and guided remediation
Create FinOps tooling and agents for allocation and tagging quality, anomaly detection, rightsizing, forecasting, commitment utilization, waste reduction, and optimization recommendations
Build application transformation accelerators for discovery, dependency analysis, cloud readiness, containerization, migration planning, modernization recommendations, and repeatable implementation artifacts
Partner with Enterprise AI, Information Security, Responsible AI, Enterprise Architecture, and application teams on standards, approved models, security and risk reviews, identity, data protection, audit, evaluation, and lifecycle controls
Instrument capabilities with product and operational metrics, support production incidents, gather customer feedback, and improve adoption, reliability, latency, cost, and developer experience
Provide technical leadership through reference implementations, code reviews, pairing, and mentoring
Maintain architecture strategy, vision, enterprise blueprints, standards, guidelines, principles, frameworks, and reference models
Coordinate enterprise-level conceptual architecture components and monitor component reuse
Drive system migration based on enterprise and domain roadmaps
Provide continuous consulting services and direction in projects and architectures

Requirements

What you’ll need

BA/BS degree in Information Technology, Computer Science, or related field of study, and a minimum of 8 years of experience in architecture/design in relevant technology disciplines; or any combination of education and experience providing an equivalent background
Recent hands-on experience building and operating production cloud platforms and software
Ability to author and review application code, infrastructure as code, APIs, automated tests, CI/CD pipelines, and operational tooling
Deep experience with at least one major public cloud provider and core cloud platform patterns
Experience with organization and account, subscription, or project provisioning; 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, clients, or comparable agent-to-tool integration capabilities
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 practices, secrets management, least-privilege access, and production support
Working knowledge of FinOps practices and cloud cost management
Experience supporting application migration, modernization, containerization, or platform onboarding programs
Experience integrating agents into 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 working in regulated environments, preferably healthcare
Ability to collaborate effectively across matrixed enterprise teams
Must be within a reasonable commuting distance of a posting location unless an accommodation is granted
Position is not eligible for current or future visa sponsorship

Benefits

Comp & perks

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