Azure AI Architect Job at YASH Technologies, Chicago, IL

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  • YASH Technologies
  • Chicago, IL

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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