AI Platform Engineer

Key Responsibilities

• Convert approved AI reference architectures into deployable cloud configurations across Azure, MuleSoft, and Salesforce.
• Build and maintain reusable platform components, modules, and landing zones that accelerate AI solution delivery across product teams.
• Configure and operate core AI platform services (e.g., Azure OpenAI, Azure AI Foundry, AI Search, MuleSoft integration layers, Salesforce Agentforce agents, Antrhropic, OpenAI) in alignment with enterprise architecture standards.
• Implement environment promotion patterns (dev/test/prod), secrets management, and observability tooling for AI workloads.
• Translate AI governance policies (risk tiering, model approval, PHI/PII handling, audit logging) into enforceable technical controls policy-as-code, Azure Policy, RBAC, network isolation, and data egress restrictions.
• Implement controls that enforce HIPAA, CMS, and internal compliance requirements for AI solutions, including Zero Data Retention configurations, audit log integration, and prompt/response logging where required.
• Partner with the AI Governance Lead and Coordinator to ensure platform configurations match documented governance posture and are audit-ready.
• Configure model gateways, content safety filters, bias/PII safeguards, and usage telemetry to support responsible AI operations at scale.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered.
• 5+ years of cloud platform engineering experience, with 2+ years focused on Azure (or comparable hyperscaler).
• Hands-on experience with infrastructure-as-code (Terraform/Bicep), CI/CD pipelines (Azure DevOps, GitHub Actions), and policy-as-code frameworks.
• Working knowledge of AI/ML platform services Azure OpenAI, AI Foundry, vector databases, model gateways, or equivalent.
• Experience implementing technical controls for regulated data environments (HIPAA, PCI, or similar).
• Strong understanding of identity, networking, encryption, and secrets management patterns in the cloud.