Description

You will design and build enterprise-level AI solutions on the Azure platform.

Responsibilities

• Define and execute enterprise-wide AI strategies leveraging Azure AI services, Azure OpenAI Service, and Azure Machine Learning.
• Architect scalable and secure AI solutions using Azure Functions, Kubernetes Service (AKS), and Databricks.
• Lead the development of generative AI applications, including LLMs, RAG models, and AI Agents.
• Drive MLOps best practices, automating the AI model lifecycle with Azure DevOps and GitHub Actions.
• Collaborate with data scientists and stakeholders to translate business needs into deployable AI solutions.

Required Skills

• 12+ years of experience in AI/ML architecture within Azure cloud environments.
• Strong proficiency in Python, C#, or R, specifically applied to Azure AI services.
• Hands-on experience with M365 Copilot, M365 Copilot Studio, Azure OpenAI, and Azure Bot Framework.
• Deep understanding of LLMs, RAG models, and vector database implementations.
• Experience automating cloud infrastructure using Terraform, Bicep, or ARM templates.
• Familiarity with MLOps frameworks for scalable AI deployment.
• Proven ability to translate complex business needs into functional AI solutions.
• Experience with AKS.

Key Skills

Education

Any Gradute