drjobs AI Platform Architect

AI Platform Architect

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1 Vacancy
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Job Location drjobs

Grand Rapids, MI - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Title:- Job Title: Azure & AI Platform Architect
Location: Grand Rapids MI- (Wisconsin Michigan Illinois Indiana Ohio Kentucky)- Hybrid - locals oe nearby

Candidates must be from these locations only

Exp level: 14 years


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.

Employment Type

Full-time

Company Industry

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