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

NavitasPartners • Phoenix, AZ

21h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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)

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

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees