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AI Architect

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: YASH Technologies
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

We are Seeking Senior AI Architect with following skills

  • 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)
Cross-Team Leadership & Innovation
  • 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
Required Qualifications Technical Expertise
  • 15+ 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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