AI Platform Engineer: Azure Infra & MLOps

STACK Infrastructure APAC

Denver (CO)

On-site

USD 128,000 - 146,000

Full time

14 days+

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Benefits offered by this job

Healthcare

Dental Care

Vision Insurance

Life Insurance

Paid Time Off

Paid Leave Programs

Job summary

STACK INFRASTRUCTURE seeks a Platform Engineer – AI Infrastructure to own the cloud platform, DevOps pipelines, and automation runtime environments powering STACK’s AI, automation and data initiatives. This hands‑on leadership role spans Terraform/Bicep IaC, Azure DevOps/GitHub Actions CI/CD, and AKS/Container Apps orchestration for scalable, secure production workloads.

You will drive cost optimization, security hardening, and multi-region deployment for LLM endpoints, embeddings, and data

Qualifications

7+ years of cloud infrastructure/DevOps experience with at least 2 years supporting AI/ML, automation, or data platform workloads at scale.
Expert-level Azure skills: Databricks, Cosmos DB, Azure Functions, Logic Apps, ADLS Gen2, Azure AI Search, Azure OpenAI Service, Container Apps/AKS, and Azure Monitor.
Strong IaC proficiency: Terraform (modules, state, workspaces), Bicep, or ARM templates with environment-templated patterns.
Hands‑on CI/CD engineering: Azure DevOps, GitHub Actions, container registries, Helm charts, and blue/green/canary deployment automation.
Solid Python and Bash skills for infrastructure tooling, automation scripts, and deployment utilities.
Deep understanding of Azure networking, security (RBAC, managed identities, Key Vault, Private Endpoints, Azure Policy), and cost management.
Experience with containerization (Docker) and orchestration (AKS or Container Apps) for production workload and model serving.
Familiarity with AI platform infrastructure: Databricks provisioning, Cosmos DB scaling, AI Search management, and LLM endpoint deployment.

Responsibilities

Design, deploy, and manage Azure infrastructure across dual EA subscriptions (Dev/Non-Prod and Production) including Databricks workspaces, AI Search clusters, Cosmos DB instances, ADLS Gen2, Azure OpenAI Service endpoints, and Azure Functions.
Implement Infrastructure-as-Code using Terraform, Bicep, or ARM templates with modular, version‑controlled patterns enabling new workloads to deploy within hours.
Configure Azure networking (VNets, Private Endpoints, NSGs, Private DNS) for secure, globally distributed platform environments across AMER, EMEA, and APAC.
Build container‑based deployment patterns (Azure Container Apps, AKS) for API serving, agent hosting, model inference, and automation execution.
Provision and manage LLM/SLM serving infrastructure: Azure OpenAI deployments, model endpoints, token‑based scaling, and multi‑region failover.
Design end‑to‑end CI/CD pipelines (Azure DevOps, GitHub Actions) for application deployment, model promotion, data pipeline orchestration, and automated testing with blue/green and canary patterns.
Build MLOps pipelines for model registration, versioning, A/B testing, canary deployment, and automated rollback of LLM endpoints and RAG configurations.
Deploy and manage automation runtime infrastructure: Azure Logic Apps, Power Automate, Azure Functions, Durable Functions, and event-driven triggers for intelligent workflows.
Maintain agent hosting environments (Chainlit, FastAPI, Teams bots) for the HR PM Agent and future agentic solutions, with auto‑scaling and health monitoring.
Create reusable deployment accelerators (Terraform modules, Helm charts, pipeline templates) to reduce time‑to‑production for each successive initiative.