Principal Cloud Engineer – AI/ML

Elevance Health

Principal Cloud Engineer focusing on enterprise AI/ML architecture strategies at Elevance Health. Collaborate with cross-functional teams to enhance healthcare innovation using cloud technologies.

Posted 5/5/2026full-timeGrand Prairie • Florida, Kansas, Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudFirewallsGoogle Cloud PlatformTerraform

About the role

Key responsibilities & impact

Define enterprise AI/ML architecture strategy across multiple cloud providers (AWS, Azure, GCP)
Author and evangelize whitepapers/position papers defining principals and strategies for AI/ML cloud platforms
Liaison with Enterprise Architecture, Enterprise Data and Analytics, and Information Security teams to design and enhance end-to-end ML pipelines including data ingestion, feature engineering, training, deployment, and monitoring
Establish ML Ops standards for cloud (CI/CD for ML, model registry, feature store, monitoring) and cloud control frameworks to support these
Drive adoption of responsible AI, model governance, and risk management frameworks
Partner with data science teams to operationalize models at scale
Serve as a technical ‘Sherpa’ for Elevance projects leveraging AI/ML in any public cloud provider
Evaluate and implement ML platforms (SageMaker, Vertex AI, Azure ML, Databricks ML, etc)
Enable real-time and batch inference architectures
Establishes overall systems architecture vision and ensures specific components are appropriately designed and leveraged; contributes to the holistic vision of Enterprise Architecture
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 is responsible for enterprise level technology and architectural standards, guidelines, principles, frameworks, and reference models

Requirements

What you’ll need

Requires an BA/BS degree in Information Technology, Computer Science or related field of study
Minimum of 8 years experience in architecture/design in relevant technology disciplines
Familiarity with feature stores, model registries, experiment tracking
Experience with streaming/inference pipelines
Strong background in responsible AI and model governance
Strong expertise in data security
Experience with infrastructure-as-code and automation tools such as Terraform or CloudFormation
Hands on experience with AI tooling; IDE and Services
Experience working with a variety of executives and their teams in a matrixed environment to deliver value and drive change
Cross-functional experience (e.g., strategy, change management, business process management)
Experience with healthcare AI use cases
Understanding of networking concepts including VPCs, subnets, firewalls, and zero trust models
Experience implementing DevSecOps and secure CI/CD pipelines
Experience working in regulated environments, preferably healthcare

Benefits

Comp & perks

Paid holidays
Paid Time Off
Incentive bonus programs
Medical benefits
Dental benefits
Vision benefits
Short and long-term disability insurance
401(k) with match
Stock purchase plan
Life insurance
Wellness programs
Financial education resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI architectureML architecturecloud platformsML OpsCI/CD for MLfeature storemodel registrydata securityinfrastructure-as-codeDevSecOps

Soft Skills

leadershipconsultingcross-functional collaborationchange managementcommunication

Certifications

BA/BS degree in Information TechnologyBA/BS degree in Computer Science