Azure DevOps / AI Platform Engineer

Existing contractor is supporting the Azure environment for AI and data initiatives; new hire will complement their skill set and fill gaps across the Azure platform. Microsoft Purview is a key need, particularly around AI/data governance. 5 days/week onsite in Woburn, MA Existing contractor is interested in staying but is not looking to convert; new hire has potential to convert.

Must-have / priority experience: Microsoft Purview Microsoft Fabric / OneLake Azure AI Foundry Strong hands-on Azure Azure DevOps / CI/CD / YAML Terraform / Infrastructure as Code Azure networking, security and identity

Day-to-day: Build, automate, secure, deploy, monitor and govern the Azure platform supporting AI and data workloads., We are seeking a Senior Azure DevOps / AI Platform Engineer to help build, automate, secure, and operate enterprise Azure infrastructure supporting AI, data, and cloud-native workloads.

This is a hands-on Azure platform engineering role, not an AI/ML development position. You will work alongside an existing Azure engineer and help fill gaps across Azure infrastructure, DevOps, governance, security, and AI platform capabilities.

The ideal candidate has strong core Azure engineering experience combined with hands-on exposure to Microsoft Purview, Microsoft Fabric/OneLake, and Azure AI Foundry.

What You’ll Do

Build, automate, secure, and operate enterprise Azure infrastructure

Develop and maintain Terraform-based Infrastructure as Code

Build and manage Azure DevOps YAML CI/CD pipelines

Support Azure AI Foundry, Microsoft Fabric/OneLake, Purview, and related AI/data platform services

Design and maintain Azure networking including VNets, subnets, NSGs, private endpoints, DNS, routing, and firewall integration

Implement Entra ID, Azure RBAC, identity, and access controls

Manage Key Vault and secure secrets

Support secure deployments across Development, Test, and Production environments

Monitor Azure environments using Azure Monitor and Log Analytics

Implement cloud governance and security controls

Troubleshoot complex Azure platform and infrastructure issues, What You’ll Do

Build and maintain Azure infrastructure supporting enterprise AI and data workloads

Develop and maintain Terraform infrastructure modules

Build and manage Azure DevOps CI/CD pipelines

Support Microsoft Fabric, Azure AI Foundry, and related platform environments

Implement Azure security, identity, networking, and governance controls

Manage deployments across Dev, Test, and Production environments

Monitor platform performance, availability, cost, and resource utilization

Troubleshoot complex Azure infrastructure and deployment issues

Implement cloud governance using tools such as Azure Policy and Microsoft Purview

Partner with cybersecurity, data, application, networking, and architecture teams

Develop technical documentation, standards, and operational procedures

DevOps, Artificial Intelligence (AI), Microsoft Windows Azure, Microsoft Windows Azure, Artificial Intelligence (AI), DevOps, Microsoft Product Family, Cloud Computing, Security Infrastructure, Engineering, Updated priority criteria: Microsoft Purview, Microsoft Fabric/OneLake, and Azure AI Foundry should be treated as must-have/priority experience, along with strong hands-on Azure DevOps, Terraform/IaC and CI/CD. Do not send AWS-heavy profiles. Need Azure-specific platform/DevOps engineers, not AI/ML developers., Senior-level, hands-on Azure Platform / DevOps Engineer supporting enterprise AI and data workloads. Strong Terraform, Azure DevOps/CI/CD, Azure networking, security and identity are required. Purview experience is important, with Fabric/Foundry experience being a key differentiator/priority. The person will complement the existing engineer and fill gaps across Azure platform engineering, governance, security and AI infrastructure., Candidates with strong Azure experience are encouraged to apply. This role requires hands-on Azure production experience; candidates whose background is primarily AWS are not the target profile for this position., 5+ years of experience in Cloud Engineering, DevOps, DevSecOps, SRE, or Platform Engineering

3+ years of hands-on Azure production experience

Strong Azure DevOps and CI/CD experience

Strong Terraform / Infrastructure as Code experience

Strong Git and YAML pipeline experience

Experience with Azure networking and secure cloud architecture

Experience with Entra ID / Azure RBAC

Experience with Key Vault

Experience with Azure Monitor / Log Analytics

Strong troubleshooting and problem-solving skills

Experience operating Azure environments across Development, Test, and Production

Ability to work across application, cybersecurity, networking, data, architecture, and governance teams

Priority Experience

The following experience is particularly important for this role:

Microsoft Purview

Microsoft Fabric / OneLake

Azure AI Foundry

Additional valuable experience includes:

Azure OpenAI

Azure AI Search

API Management, The ideal candidate is a strong Azure platform/DevOps engineer who understands how to build the infrastructure layer supporting AI and data workloads.

You should be comfortable discussing how you would securely deploy AI or data workloads across Azure environments using infrastructure as code, CI/CD, identity, networking, security controls, monitoring, and governance.

This is not primarily an AI/ML developer role. We are looking for someone whose strength is Azure platform engineering, with Fabric, Foundry, and Purview experience being especially valuable.