Principal Cloud Engineer – AI/ML

Location & Work Arrangement

This role requires associates to be in‑office 1–2 days per week, providing collaboration while allowing flexibility for productivity and work‑life balance. Alternate locations may be considered for candidates within commuting distance of an office. Candidates not within a reasonable commuting distance will not be considered unless an accommodation is required by law. This position is not eligible for current or future visa sponsorship.

Responsibilities

• Deploy AI‑enabled capabilities for core Cloud Engineering products, working hands‑on with application code, infrastructure as code, APIs, CI/CD pipelines, and production environments.
• Develop production agents and reusable skills for cloud customer journeys, including 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 Model Context Protocol (MCP) servers, adapters, and supporting services that securely expose cloud platform APIs, automation, inventory, telemetry, cost data, and operational knowledge to approved agents and assistants.
• Advance account vending and developer onboarding by automating intake, prerequisite checks, guardrail validation, documentation, environment setup, access workflows, and handoff to platform services.
• Enhance Containers as a Service (CaaS) offerings with self‑service and AI‑assisted capabilities for workload onboarding, deployment, policy compliance, observability, troubleshooting, and guided remediation across Kubernetes‑based environments.
• Create FinOps tooling and agents for allocation and tagging quality, anomaly detection, rightsizing, forecasting, commitment utilization, waste reduction, and actionable optimization recommendations; measure realized savings and cost avoidance.
• Build application transformation accelerators for discovery, dependency analysis, cloud readiness, containerization, migration planning, modernization recommendations, and generation of repeatable implementation artifacts.
• Partner with Enterprise AI, Information Security, Responsible AI, and Enterprise Architecture to consume standards, integrate approved models and tooling, complete security and risk reviews, and implement identity, data protection, audit, evaluation, and lifecycle controls.
• Instrument capabilities with product and operational metrics, support production incidents, gather cloud‑customer feedback, and continuously improve adoption, reliability, latency, cost, and developer experience.
• Provide technical leadership through reference implementations, code reviews, pairing, and mentoring while remaining accountable for delivering working components.
• Maintain components of architecture strategy and vision, enterprise‑level blueprints, and coordinate all enterprise‑level conceptual architecture components (data, application, technical).
• Monitor usage of architectural components, drive system migration based on roadmap definitions, and lead enterprise architecture strategy and vision.
• Ensure blueprints are refreshed as needs emerge, provide continuous consulting services and direction in projects, and champion enterprise‑level technology and architectural standards, guidelines, principles, frameworks, and reference models.

Minimum Requirements

• BA/BS degree in Information Technology, Computer Science, or a related field, or equivalent combination of education and experience.
• At least 8 years of experience in architecture/design within relevant technology disciplines.

Preferred Skills, Experiences, and Competencies

• 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 (organization/account provisioning, landing zones, IAM, networking, policy, logging, monitoring).
• Strong experience building or operating Kubernetes and container platform capabilities (workload onboarding, deployment automation, security controls, observability, reliability, lifecycle management).
• Proficiency in one or more programming languages such as Python, Go, TypeScript, or Java, with experience building APIs, event‑driven integrations, SDKs, automation services, and reusable platform components.
• Hands‑on experience building production generative AI or agent solutions (tool/function calling, orchestration, context & retrieval, state management, structured outputs, automated evaluation, observability, guardrails).
• Experience building MCP servers, clients, or comparable agent‑to‑tool integration capabilities (authentication/authorization, schema/version management, error handling, policy enforcement, audit logging).
• Experience with infrastructure as code and automation tools such as 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, plus 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) and collaborating effectively across matrixed enterprise teams.

Benefits

Elevance Health offers a range of market‑competitive total rewards, including merit increases, paid holidays, Paid Time Off, incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short‑ and long‑term disability benefits, 401(k) with matching contributions, a stock purchase plan, life insurance, wellness programs, and financial education resources.