CareerPlanGet AI match score →

Site Reliability Engineer- AI Enablement

US Remote🌐 Remote💼 Full-time🗓 2026-07-08 → 2026-07-31

Core

Enable engineering teams to adopt AI responsibly by evaluating architectures, guiding tooling, and ensuring operational readiness for AI systems.

Role type

Senior IC Site Reliability Engineer (AI Enablement)

Builds

Reliable, observable, and governance-aligned AI-powered services for healthcare organizations

Domain

Healthcare IT + AI/LLM Systems

Deliverable

production ML models

Required skills

AI system solutioning, LLM API integration, agentic/RAG frameworks, SRE principles, observability, cloud infrastructure (Azure/AWS), container orchestration, AI governance

Preferred skills

Software engineering background, healthcare IT compliance, AI evaluation/red-teaming, rules engines, Databricks, observability tooling

Technologies

Azure AI Foundry, Anthropic Claude, LangChain, LlamaIndex, Semantic Kernel, Docker, Kubernetes, Datadog, Grafana, OpenTelemetry, Databricks

Responsibilities

Train engineering teams on AI workflows and tooling; evaluate AI system designs for reliability and governance; advise on SLOs and failure modes; develop internal standards and reference architectures; participate in incident calls as an AI subject matter expert; maintain documentation of AI patterns.

Seniority

Senior, hands-on IC

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workday ↗