Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Senior AI Platform Engineer to translate AI reference architectures into secure, scalable cloud configurations for a regulated healthcare environment. The role involves operationalizing platform standards, automating guardrails, and ensuring that AI workloads meet security and compliance requirements.

Responsibilities

• Convert approved AI reference architectures into deployable cloud configurations across Azure, MuleSoft, and Salesforce Agentforce, using infrastructure-as-code (Terraform, Bicep, ARM) and CI/CD pipelines
• 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, Antrhopic, 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
• Deliver paved-path templates, starter kits, and self-service capabilities that allow product and engineering teams to build AI solutions safely without recreating platform components
• Provide technical support, documentation, and office hours to development teams consuming the AI platform
• Collaborate with Consultant Product Owners and platform architects to translate solution requirements into platform capabilities and backlog items
• Monitor platform health, capacity, cost, and consumption; implement automation to optimize spend and performance
• Support incident response, root-cause analysis, and continuous improvement of platform reliability and security posture
• Maintain platform documentation, runbooks, and architectural decision records

Skills

• 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
• Platform familiarity across Azure, MuleSoft, and Salesforce Agentforce ability to configure, integrate, and govern AI workloads spanning all three platforms
• Experience operating AI or data platforms in a healthcare payer or other regulated industry
• Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and translating policy into technical enforcement
• Experience with document intelligence, RAG architectures, or agentic AI patterns
• Azure certifications (AZ-305, AZ-400, AI-102), MuleSoft Certified Developer/Architect, or Salesforce Agentforce/Platform credentials a plus

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