Azure AI Architect

Responsibilities

• Architect scalable and secure AI solutions using Azure Functions, Kubernetes Service (AKS), and Databricks
• Develop AI governance frameworks, ensuring compliance with responsible AI principles and security best practices
• Lead the development of generative AI applications, including LLMs, RAG models, AI Agents and custom AI pipelines
• Implement prompt engineering, fine‑tuning, and retrieval mechanisms for improved AI performance
• Design vector‑based search architectures using Azure Cognitive Search and vector databases
• Drive MLOps best practices, automating AI model lifecycle with Azure Dev Ops and Git Hub Actions
• Optimize cloud AI workloads, balancing performance, cost, and security
• Ensure scalability and resilience of AI applications using Azure infrastructure as code (Terraform, Bicep, ARM)

• Collaborate with data scientists, engineers, and stakeholders to design AI‑driven solutions
• Evaluate emerging AI technologies, integrating innovations like Lang Chain, Semantic Kernel, and multi‑agent AI frameworks
• Lead AI architectural reviews, providing mentorship and best practices guidance to teams

• 12+ years of experience in AI/ML architecture and Azure cloud environments
• Strong proficiency in Python, C#, or R, with expertise in Azure AI services
• Hands‑on experience with M365 Copilot, M365 Copilot Studio, Azure OpenAI, Azure Bot Framework, and Cognitive Services
• Deep understanding of LLMs, RAG models, and vector database implementations

• Azure certifications preferred (AI-102, AZ-305, DP‑100, AZ‑305)
• Experience with Terraform, Bicep, and ARM templates for cloud automation
• Familiarity with MLOps frameworks for scalable AI deployment

• Proven ability to translate business needs into AI solutions
• Strong problem‑solving, strategic thinking, and innovation mindset
• Excellent communication skills, capable of influencing senior stakeholders

• Master’s degree in Computer Science, AI, or a related field
• Experience with multi‑cloud AI strategies, predominantly on Azure
• Expertise in AI security, privacy, and compliance frameworks
• Prior experience in enterprise AI solutions with large‑scale deployments

Mid‑Senior level

Full‑time

Information Technology

IT Services and IT Consulting