Job Description

AI Strategy & Architecture

• Define and execute enterprise-wide AI strategies leveraging Azure AI, Azure OpenAI Service, Azure copilot studio, Azure AI Foundry, Azure AI Services, Azure Machine Learning, and Azure Cognitive Services
• 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

AI Development & Model Optimization

• 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

Cloud & DevOps Excellence

• Drive MLOps best practices, automating AI model lifecycle with Azure DevOps and GitHub 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)

Cross-Team Leadership & Innovation

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

Technical Expertise

• 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

AI & Cloud Certifications

• 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

Leadership & Business Impact

• 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

Preferred Qualifications

• 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

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