AI Platform Engineer building and operating secure, scalable components of a cloud AI platform at Elevance Health. Design, implement, and automate cloud services and APIs while improving performance and efficiency.
Responsibilities
build, ship, and operate secure, scalable components of a cloud AI platform, APIs, services, distributed data jobs, and the tooling that powers our developers
Design and implement cloud native services and APIs (REST/gRPC) with robust authentication/authorization (e.g., OAuth2/OIDC, key management), multi tenancy, quotas, and rate limiting
Contribute to distributed processing (batch and streaming) for ingestion, normalization, and feature/vector pipelines that power search, retrieval, and inference
Integrate services with model endpoints, vector indexes, and metadata/catalog systems; follow contracts and versioning standards for backward compatibility
Add telemetry by default (logs, metrics, traces); build dashboards/alerts; participate in incident response and post incident improvements
Automate with CI/CD and Infrastructure as Code; create repeatable environment provisioning and deploy patterns (blue/green, canary)
Contribute with high quality docs, SDK samples, and usage examples, support consumer onboarding and access workflows
Write clean, well tested code; perform reviews; uphold secure coding and reliability practices; maintain runbooks and API specs
Participate in on call rotation; proactively improve availability, latency, and cost efficiency
Requirements
Requires an BA/BS degree in Information Technology, Computer Science or related field of study
minimum of 3 years experience on one platform, multi database, multi language or multi business application
Experience mentoring others, leading small projects and providing troubleshooting support is strongly preferred
Solid grasp of API design (OpenAPI), eventing/message queues, and SQL/NoSQL data stores
Familiarity with vector databases and embeddings integration
Hands on with containers/orchestration, CI/CD, IaC, secrets/IAM, and observability concepts
Comfort with batch/stream processing paradigms and job orchestration (DAG based schedulers)
Benefits
merit increases
paid holidays
Paid Time Off
incentive bonus programs (unless covered by a collective bargaining agreement)
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