Azure AI Platform Architect

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Coding
SQL
Data Science
Power Bi
Terraform
Python
Scripting
Provisioning
Machine Learning
Deployment
Version Control
Data Governance
Scala
Data Architecture
Azure Devops
Governance
Disaster Recovery
Git
Control Systems
Deep Learning

Job Details

Job Title:- Job Title: Azure & AI Platform Architect
Location: Hybrid Grand Rapids MI

Any Visa

We are seeking a multifaceted Azure Platform Architect who combines deep hands-on experience with cloud infrastructure administration, data architectures and knowledge of AI platforms.
Key Responsibilities:
Design and administer Azure services including Databricks, Data Factory, Synapse, Cosmos DB, Function Apps, SQL DB, ADLS Gen2, and Azure Fabric.
Define and implement enterprise-grade cloud infrastructure for data lakes and microservices, including performance monitoring, alerting, and code lifecycle management.
Design and automate infrastructure provisioning through Infrastructure as Code (IaC) to support CI/CD pipelines.
Architect and implement AI platforms that support machine learning, deep learning, and data science workflows.
Evaluate and integrate AI tools and frameworks, ensuring compatibility with enterprise systems and scalability requirements.
Collaborate with DevOps, Security, and Infrastructure teams to enforce secure and compliant development and deployment practices.
Drive enterprise governance initiatives, ensuring SLA adherence and resilient infrastructure (backup, DR, monitoring).
Primary Skills:
Azure infrastructure administration with strong hands-on knowledge in Databricks, Synapse, Data Factory, Cosmos DB, Function Apps, SQL DB, ADLS Gen2, and Git.
Experience with Infrastructure as Code tools (Terraform, or similar).
Coding proficiency in Python or Scala; scripting knowledge with PowerShell or Bash is a plus.
Solid grasp of data architecture, APIs, and microservices.
Understanding of version control systems (e.g., Git) and infrastructure testing practices.
Good understanding of AI and ML platform architecture and relevant frameworks.

Secondary Skills (Good to Have):
Exposure to Azure DevOps, Power BI, APIM, Logic Apps, and AI/ML tooling.
experience with data governance, platform monitoring, disaster recovery, and scalability optimization.

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About Advantra Consulting Group