Azure AI / Foundry Specialist + Copilot Studio - AZAICS 26-04222

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Job Title: Azure AI / Foundry Specialist Copilot Studio

Location: Phoenix, AZ

Duration: 6 Months

Job Summary:

We are seeking a senior-level Azure AI / Foundry Specialist with Copilot Studio expertise to analyze, stabilize, and modernize an existing large-scale Copilot implementation. This role focuses on enhancing and optimizing an established solution (approximately 600 topics), not building from scratch.

The ideal candidate will bring strong hands-on experience with LLM-based solutions, RAG architectures, and enterprise-scale AI deployments, with the ability to improve performance, scalability, and user experience.

Key Responsibilities:

• Review and analyze an existing Copilot Studio implementation with ~600 topics to identify:
• Redundant or overlapping topics
• Performance bottlenecks and routing inefficiencies
• Opportunities for generative AI and RAG enhancements
• Design and implement enhancements using Azure AI / Foundry, including:
• Cognitive Search with embeddings
• Custom RAG (Retrieval-Augmented Generation) endpoints
• Function/tool calling for advanced reasoning
• Conversion of static topics into generative, grounded responses
• Develop advanced AI capabilities such as:
• Text summarization
• Advanced query understanding
• Context persistence across conversations
• Multi-step reasoning using Azure AI orchestration
• Improve content grounding using internal documents and web sources with modern Azure AI approaches
• Optimize chatbot performance, scalability, and maintainability
• Deliver a robust, scalable architecture that internal teams can support post-implementation
• Create comprehensive documentation, including:
• Technical designs
• Enhancement details
• Troubleshooting playbooks
  

Required Qualifications:

• Strong expertise in Microsoft Copilot Studio and Azure AI / Foundry
• Proven experience working with LLM-based solutions in Azure (2 3 years)
• Hands-on experience with RAG solutions, including:
• Azure Cognitive Search (indexing, chunking, enrichment)
• Experience optimizing and scaling production-level AI/chatbot implementations
• Strong skills in prompt engineering, testing, and evaluation methodologies
• Excellent problem-solving, communication, and organizational skills
  
  

Preferred Qualifications:

• Experience working on large-scale or enterprise chatbot/virtual assistant platforms
• Ability to act as a technical lead and mentor internal teams
• Experience integrating AI solutions with enterprise platforms (e.g., internal portals, collaboration tools)
  
  

Key Competencies:

• Strong analytical and optimization mindset
• Ability to work independently and lead technical initiatives
• Expertise in designing scalable AI architectures
• Clear and effective communication with both technical and non-technical stakeholders
  
  

Additional Information:

• This role focuses on enhancing and modernizing an existing AI solution, not building from scratch
• Opportunity to significantly improve a high-visibility, public-facing virtual assistant and expand AI capabilities across additional platforms