Principal Cloud Engineer - AI/ML
Elevance Health
Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. PLEASE NOTE: This position is not eligible for current or future visa sponsorship. At Elevance Health, Cloud Engineering builds and operates secure, scalable platforms that help application teams provision environments, deploy workloads, manage cloud cost, and transform applications. The Principal Cloud Engineer - AI/ML is a hands‑on principal engineer within the Cloud organization. This role designs, codes, integrates, and operates AI-enabled capabilities across account vending and landing zones, Containers as a Service (CaaS), FinOps, developer onboarding, and application migration and transformation. The Principal Cloud Engineer – AI/ML creates production agents, reusable agent skills, and Model Context Protocol (MCP) servers and integrations that make cloud services easier to consume and operate. The role partners with Enterprise AI, Information Security, Responsible AI, Enterprise Architecture, and application teams to apply enterprise standards and approved AI services within cloud products. A substantial portion of the role is hands‑on build and production ownership. Success is measured through working software, customer adoption, faster onboarding and provisioning, improved developer experience, lower cloud cost, more reliable operations, and accelerated application transformation. How You Will Make An Impact Deploy AI-enabled capabilities for core Cloud Engineering products, with regular hands‑on work in 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 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, reducing time to first productive deployment. Enhance CaaS offerings through 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. Maintains components of architecture strategy and vision. Maintains enterprise level blueprints. Coordinates all enterprise‑level conceptual architecture components (e.g., data architecture, application architecture, technical architecture. Monitors usage of architectural components and assumes responsibility for reuse. Drives system migration based upon roadmaps defined in enterprise and domain blueprints. Leads architecture strategy and vision for enterprise. Ensures blueprints are refreshed as needs emerge or in accordance to plan of record changes. Provides continuous consulting services and direction in projects and architectures. Champions and responsible for enterprise level technology and architectural standards, guidelines, principles, frameworks, and reference models. Minimum Requirements Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 8 years experience in architecture/design in relevant technology disciplines; or any combination of education and experience, which would provide an equivalent background. Preferred Skills, Experiences And Competencies Demonstrated 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, including organization and account, subscription, or project provisioning; landing zones; identity and access management; networking; policy; logging; and monitoring. Strong experience building or operating Kubernetes and container platform capabilities, including workload onboarding, deployment automation, security controls, observability, reliability, and lifecycle management. Strong software engineering skills in one or more 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, including 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, including authentication and authorization, schema and version management, error handling, policy enforcement, and 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. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market‑competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member‑facing roles to become vaccinated against COVID‑19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process should submit the Accessibility Accommodation Request Form and a member of the team will be in contact. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration. #J-18808-Ljbffr Elevance Health
$120.5k - $231k
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...Controls International (JCI) is looking for an AI Platform Engineer to join the AI Engineering & Platforms... ...across JCI. You will work across cloud platform engineering, infrastructure as... ...supporting services. Contribute to AWS AI/ML platform capabilities using services such...Full timeRemote work- ...environment. Join our Technology Team as an AI Platform Engineer located in various offices.We are... ...the Director of Enterprise Content and Cloud Services.Position Summary The AI Platform... ...on experience deploying or operating AI/ML workloads in a major cloud environmentDemonstrated...
$101k - $194k
...our team provides cutting-edge AI tooling and capabilities to empower... ...skilled and innovative AI Engineer to focus on evaluating, fine-tuning... ...training.Experience in AI/ML software engineering, with deep... ...designing and deploying scalable cloud infrastructure on Google Cloud...Full timeTemporary workPart timeWork experience placementWork at officeWork from homeShift work3 days per week$139.23k - $163.8k
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...willing to listen to your ideas. This is a senior engineering role. You will architect, operate, and continuously improve cloud data and analytics platforms (e.g., Microsoft... ..., Databricks, etc.) are a plus.Hands-on AI/ML/GenAI enablement experience (model lifecycle,...Full timeContract workLocal areaFlexible hours$160k - $220k
...infrastructure, we want you on our best-in-class team.SUMMARYThe AI Engineer, Platform and Data builds the core that everything else runs on... ..., or related technical field6+ years in backend, data, or ML infrastructure engineering, shipping production systems at scaleStrong...Full time$91.3k - $124.4k
...to listen to your ideas. This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric... ..., Databricks, etc)Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure...Full timeContract workInternshipLocal areaFlexible hours- H2O.ai in Dallas, Texas, is seeking a Principal AI Engineer to design and ship end-to-end AI solutions for enterprise problems, including agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing...
- Forward Deployed Engineering and Science H2O.ai is on a mission to democratize AI for... ...NIH. We are looking for a Principal AI Engineer who builds things... ..., and production ML pipelines. This is a hands-... ...into customer environments - cloud, on-prem, and hybrid - ensuring...WorldwideFlexible hours
- Harnham in Dallas is seeking a talented full-stack engineer to join a hybrid team focused on building an AI-enabled analytics platform. You will work at the intersection of software engineering, ML, product development, and analytics to support major commercial decisions...
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$204.73k - $370.53k
...KPMG is currently seeking a Director of AI, Data & Google Cloud to join our consulting organization.... ...minimum of 8 years in data analytics, AI/ML, and cloud technology, including leadership... ...Cloud Architect, Machine Learning Engineer) or equivalent are a plus.Bachelor's Degree...H1bLocal area- ...Senior AI Developer (Palantir AI Platform) DETAILS Location... ..., deploy them into cloud environments, and ensure they... ...operate at the intersection of AI Engineering, Software Development, Cloud Engineering... ...Designing / Deploying AI / ML Solutions with PyTorch / TensorFlow...Hourly payWork at officeLocal areaRemote work
$60k - $135k
...capabilities in consulting design engineering and operations we help clients... ...We are seeking a Senior AI Customer Data Platform (CDP) Engineer... .../ Flask Microservices Cloud & DevOps Azure or GCP... ...integrating customer data with AI/ML models. Experience building...Minimum wageFull timeLocal area- ...currently seeking a Director, AI Strategy Architect to join our... ...transformation programs using cloud AI services, enhancing customer... ...the forefront of AI and cloud engineering technology advancementsWork... ...years of recent experience in AI/ML, data analytics, and cloud...H1bLocal area
$215k - $275k
...clients who are ready to accelerate AI-enabled digital product... .... By blending design, product engineering, analytics, and automation, we... ...You will lead and develop AI/ML engineers, architects, and data... ....* Engineer containerized and cloud-native services using Docker,...Temporary workLocal area
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