AI Platform Engineer
How You Will Make an Impact
- 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.
Minimum Requirements
Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 3 years experience on one platform, multi database, multi language or multi business application; or any combination of education and experience, which would provide an equivalent background.
Preferred Skills, Capabilities & Experiences
- 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).
Elevance Health is a health company dedicated to improving the health of humanity. We bring together the concepts of elevate and advance to improve health outcomes, lower costs, and simplify experiences. We serve people across their entire health journey and address their full range of needs with an integrated whole-health approach.
April 10, 2026
5-7 business days
After submission
- •Direct, explicit integration with AI components: model endpoints, vector indexes, embeddings, and inference pipelines.
- •Role centers on applied AI workflows (ingestion, feature/vector pipelines, search/retrieval) rather than research—strong workflow integration signal.
- •Hands-on operational responsibilities (CI/CD, IaC, observability, telemetry, deployment patterns) demonstrate tool proficiency and enablement of AI at scale.
This is a technically substantial mid-level AI Platform Engineer role at an established health company with a clear salary range and full-time/hybrid employment. The job signals solid safety and technical impact (ownership of services, CI/CD, observability, integrations with ML infra). Gaps exist around benefits detail, explicit team/reporting structure, and specifics about on-call expectations and career progression. Overall the posting satisfies foundational needs reasonably well and offers meaningful opportunities for esteem and growth, but candidates should clarify benefits, on-call cadence, and paths for development before proceeding.
- •On-call and incident-response responsibilities are explicit but the JD gives no detail on frequency, compensation, or mitigations — potential work-life balance risk.
- •Benefits and total rewards (health insurance, retirement/401k, PTO) are not described in the posting — important practical details are missing.
- •Team structure and reporting lines are not specified (who the role reports to, team size), making scope and day-to-day context unclear.
- •Clear and competitive base compensation range ($110,440–$180,720) provided.
- •Established company in healthcare with public web presence and enterprise-scale responsibilities (signals organizational stability).
- •Role offers technical ownership across cloud-native services, CI/CD/IaC, observability, and integration with modern ML components (vector DBs, model endpoints) — strong technical breadth.
- •Can you describe the benefits package (health/dental/vision, retirement/401(k) matching, PTO and parental leave) and any total rewards documentation available for this role?
- •What does the on-call rotation look like (frequency, typical hours per rotation, escalation procedure, and whether compensation or time-off in-lieu is provided)?
- •How is the AI Platform team organized (team size, reporting line for this role, key cross-functional partners) and what onboarding/support is provided for new hires?
Location
Salary Range
$110k - $181k
Employment Type
Full-time
Experience Level
Mid-level
Posted
January 10, 2026 (2 weeks ago)
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