Azure & AI Platform Architect

Overview

Hybrid
$50 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Microsoft Power BI
IaaS
Lifecycle Management
Machine Learning (ML)
Microservices
Microsoft Azure
Database
Databricks
Deep Learning
DevOps
Disaster Recovery
Git
Continuous Integration
Data Architecture
Data Governance
Data Science
Optimization
Artificial Intelligence
Backup
Bash
Collaboration
Continuous Delivery
Cosmos-Db
Scripting
Terraform
Testing
Version Control
Windows PowerShell
Workflow
Performance Monitoring
Provisioning
Python
SLA
SQL
Scala
Scalability

Job Details

Hello,

Hope you are doing great

Please let me know if you are available for a new role

Title: Azure & AI Platform Architect

Contract: Ongoing contract

Location: Grand Rapids, MI (Hybrid)

Description :-

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.

Thanks & Regards,

Kapil Bhati

Account Manager

VRTek Consulting

Office:

Email:

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About VRTek Consulting