AI Platform Engineer

AI Platform Engineer

Company Overview

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States.

Project Description

Our client, a leading healthcare payor, is seeking an AI Platform Engineer to translate AI reference architectures into secure, scalable cloud configurations across Azure, MuleSoft, and Salesforce Agentforce. The role operationalizes platform standards, automates governance guardrails, and ensures all AI workloads meet enterprise security, compliance, and HIPAA requirements.

Key Responsibilities

Convert AI reference architectures into deployable cloud configurations using Terraform, Bicep, ARM, and CI/CD pipelines

Configure and operate Azure OpenAI, AI Foundry, AI Search, MuleSoft integration layers, Salesforce Agentforce, Anthropic, and OpenAI services

Build reusable platform components, landing zones, and environment promotion patterns (dev test prod)

Translate AI governance policies into technical controls — policy-as-code, Azure Policy, RBAC, network isolation, and data egress restrictions

Implement HIPAA, CMS, and Zero Data Retention compliance controls including audit logging and prompt/response logging

Deliver paved-path templates, starter kits, and self-service capabilities for development teams

Monitor platform health, capacity, and cost; support incident response and continuous improvement

Maintain platform documentation, runbooks, and architectural decision records

Mandatory Skills

5+ years of cloud platform engineering with 2+ years on Azure or comparable hyperscaler

Hands-on experience with Terraform/Bicep, Azure DevOps, GitHub Actions, and policy-as-code frameworks

Working knowledge of Azure OpenAI, AI Foundry, vector databases, and model gateways

Experience implementing technical controls for HIPAA, PCI, or similarly regulated environments

Strong understanding of identity, networking, encryption, and secrets management in cloud

Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered

Nice-to-Have Skills

Hands-on experience across Azure, MuleSoft, and Salesforce Agentforce

Familiarity with NIST AI RMF, ISO 42001, RAG architectures, or agentic AI patterns

Healthcare payor or regulated industry background

Azure (AZ-305, AZ-400, AI-102), MuleSoft, or Salesforce Agentforce certifications