Key skills
AIMLOpenAIRAGAgenticAzureTerraformGitHub ActionsAzure DevOpsGitHubSalesforceCI/CDCloud Security
About this role
Job Title: AI Platform Engineer
Location: Remote
Duration: 6 months+
No C2C only W2
Location: Remote
Duration: 6 months+
No C2C only W2
Job Summary:
We are seeking an experienced AI Platform Engineer with expertise in Azure, Azure OpenAI, Infrastructure as Code, CI/CD, AI Governance, and Cloud Security to build and support secure, scalable AI platforms in a regulated healthcare environment. The ideal candidate will automate cloud infrastructure, implement governance controls, and enable development teams to deploy enterprise AI solutions securely.
We are seeking an experienced AI Platform Engineer with expertise in Azure, Azure OpenAI, Infrastructure as Code, CI/CD, AI Governance, and Cloud Security to build and support secure, scalable AI platforms in a regulated healthcare environment. The ideal candidate will automate cloud infrastructure, implement governance controls, and enable development teams to deploy enterprise AI solutions securely.
Key Responsibilities:
Build and manage AI platform infrastructure using Azure, Terraform, Bicep, and ARM Templates.
Configure Azure OpenAI, Azure AI Foundry, AI Search, MuleSoft, and Salesforce Agentforce.
Implement CI/CD pipelines, Azure Policy, RBAC, security, monitoring, and secrets management.
Enforce HIPAA, CMS, AI Governance, audit logging, and compliance requirements.
Develop reusable platform components and support engineering teams.
Monitor platform performance, reliability, security, and cost optimization.
Maintain technical documentation and collaborate with cross-functional teams.
Build and manage AI platform infrastructure using Azure, Terraform, Bicep, and ARM Templates.
Configure Azure OpenAI, Azure AI Foundry, AI Search, MuleSoft, and Salesforce Agentforce.
Implement CI/CD pipelines, Azure Policy, RBAC, security, monitoring, and secrets management.
Enforce HIPAA, CMS, AI Governance, audit logging, and compliance requirements.
Develop reusable platform components and support engineering teams.
Monitor platform performance, reliability, security, and cost optimization.
Maintain technical documentation and collaborate with cross-functional teams.
Required 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.
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.
Preferred Qualifications:
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.
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.
Best Regards,
Tarun K
Phone: +1-
Email:
Tarun K
Phone: +1-
Email: