Elevance Health — адамдардың денсаулығын қолдауға неғұрлым кең әрі ұзақ мерзімді тәсіл қалыптастыратын денсаулық сақтау және медициналық сақтандыру компаниясы. Оның қызметі медициналық сақтандыру артықшылықтарын, денсаулыққа кешенді түрде бағытталған біріктірілген қызметтерді және медициналық көмек пен сақтандыру қамтуын тиімдірек байланыстыруға арналған цифрлық денсаулық сақтау мүмкіндіктерін біріктіреді. 100 000-ға жуық қызметкері 118 миллионнан астам адамға қызмет көрсететін Elevance Health денсаулық нәтижелерін жақсартуға, денсаулық сақтау жүйесін дамытуға және мықты қауымдастықтарды қолдауға бағытталған ауқымды, түрлі салалар мамандары жұмыс істейтін ұйымдағы мансап мүмкіндіктерін ұсынады.
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.
Сипаттама
- 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.
Талаптар
- 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.
Артықшылықтар
- 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