Azure AI​/Foundry Specialist

Job Title:
Azure AI/Foundry Specialist + CoPilot Studio

Location:

Phoenix, AZ
Duration: 6 Months

The City of Phoenix is seeking a senior-level resource to analyze, stabilize, and modernize an existing Copilot Studio implementation that includes approximately 600 topics and extend it using Azure AI/Foundry. This is not a net-new build. This role requires experience cleaning up and improving an existing, large-scale Copilot Studio implementation.

A Microsoft CoPilot Studio and Azure AI/Foundry Support Engineer provides technical expertise to maintain, troubleshoot, optimize and enhance CoPilot Studio Agent implementations. Including up to shifting the solution to leverage Azure AI/Foundry.

Key responsibilities include:

• Review and analyze the existing Copilot Studio Agent with 600 topics to identify:
  • Redundant or overlapping topics
  • Gaps where generative or RAG approaches would improve quality
  • Performance issues or routing inefficiencies
• Implement Azure AI/Foundry enhancements, potentially including:
  • Cognitive Search with embeddings
  • Custom RAG endpoints
  • Function/tool calling for deeper reasoning
  • Conversion of static topics to grounded generative versions
• Build new advanced capabilities such as:
  • Summarization
  • Advanced query understanding
  • Context persistence across long conversations
  • Multi-step reasoning via Azure AI orchestration
• Improve grounding to our website and internal documents, replacing older GPT 4 website ingestion with newer Azure AI methods for higher accuracy and control.
• Deliver a scalable Copilot architecture that internal teams can maintain after handoff.
• Document all enhancements and provide troubleshooting playbooks.

Required Skills: Strong knowledge of the Microsoft CoPilot Studio and Azure AI/Foundry platforms. Problem-solving, communication, and organizational skills are essential.

Ideal Candidate:

• 2–3+ years building or integrating LLM-based solutions in Azure
• Production-level Copilot Studio or Azure AI/Foundry deployments, ideally at enterprise scale
• Hands on RAG solutions with Cognitive Search (index design, chunking, enrichment)
• Strong prompt engineering, testing frameworks, and evaluation methodologies
• Ability to act as a technical lead, guiding solution architecture and mentoring internal teams

This role is vital for taking the city's current public-facing chatbot/virtual assistant to the next level and identify additional areas where new agents can assist with other city-owned public websites as well as internal intranet and Teams sites.