Platform Engineer – AI Infrastructure

About the role

The Platform Engineer – AI Infrastructure leads the cloud platform, DevOps pipelines, automation runtime environments, and operational infrastructure that power all of STACK’s AI, automation, and data initiatives. This role is hands-on and responsible for ensuring rapid deployment, reliability, and cost-effectiveness of intelligent agents, automation workflows, RAG platforms, and data pipelines.

Responsibilities

• Owns Azure infrastructure provisioning using Terraform and Bicep, CI/CD pipeline engineering with Azure DevOps and GitHub Actions, container orchestration on AKS and Azure Container Apps, model serving and vector search infrastructure, automation runtime hosting, and security hardening.
• Owns deployment infrastructure for agentic and hybrid model workloads, including LLM/SLM serving endpoints, embedding compute, GPU/inference scaling, and multi-model routing.
• Designs, deploys, and manages 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.
• Builds 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.
• Builds MLOps pipelines for model registration, versioning, A/B testing, canary deployment, and automated rollback of LLM endpoints and RAG configurations.
• Deploys and manages automation runtime infrastructure: Azure Logic Apps, Power Automate, Azure Functions, Durable Functions, and event-driven triggers for intelligent workflows.
• Maintains agent hosting environments (Chainlit, FastAPI, Teams bots) for the HR PM Agent and future agentic solutions, with auto-scaling and health monitoring.
• Produces monthly infrastructure cost and performance reports with spend trends, cost-per-query, and optimization metrics.
• Drives Azure cost optimization: commitment-tier analysis, right-sizing, automated shutdown policies, and token consumption tracking across LLM endpoints.
• Ensures SOX compliance, data residency, and governance using Microsoft Purview, Defender XDR, and Azure Policy.
• Manages secrets, certificates, API key rotation, and Entra ID integration for platform authentication across global regions.

Requirements

• 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.

Qualifications

• Must be eligible to work in the United States.
• Must pass comprehensive background and drug screening.

Skills

• Terraform (modules, state, workspaces)
• Bicep
• ARM templates
• Azure DevOps
• GitHub Actions
• Container orchestration (AKS, Container Apps)
• CI/CD pipelines
• MLOps pipelines
• Azure networking
• Azure security (RBAC, managed identities, Key Vault, Private Endpoints, Azure Policy)
• Azure cost management
• Python
• Bash
• AI platform infrastructure (Databricks, Cosmos DB, Azure AI Search, Azure OpenAI Service)

Benefits

• Healthcare
• Dental Care
• Vision Insurance
• Life Insurance
• Paid Time Off
• Paid Leave Programs

Pay

$128,260.00 - $146,017.59

Schedule

Full-time