Azure AI / Foundry Specialist + Copilot Studio - AZAICS 26

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., * 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, * 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

For more details reach at resumes@navitassols.com.

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., * 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