Location
United States
Job Type
Full-time
Posted
July 01, 2026
Job Description
Our Client, a Health Insurance company, is looking for an AI Platform Engineer for their Remote location. Responsibilities:
+ Platform Engineering & Cloud Configuration
+ 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.
+ Governance & Guardrails Enablement:
+ Translate AI...
+ Platform Engineering & Cloud Configuration
+ 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.
+ Governance & Guardrails Enablement:
+ Translate AI...