What are the responsibilities and job description for the Azure AI / Foundry Specialist + Copilot Studio - AZAICS 26-04222 position at Compu-Vision Consulting, Inc.?
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