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Senior Copilot & Azure AI Foundry Engineer
Job in
Charlotte, Mecklenburg County, North Carolina, 28202, USA
Listed on 2026-08-05
Listing for:
Iconma
Full Time
position Listed on 2026-08-05
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Senior Copilot & Azure AI Foundry Engineer
Our client, a Media, Information and Services company, is looking for a Senior Copilot & Azure AI Foundry Engineer for their Charlotte, NC location.
Responsibilities:- Analyze and refactor Copilot Studio agents to eliminate redundancies, improve routing efficiency, and streamline topic structures for better maintainability.
- Transition static, rule-based topics into grounded generative experiences and replace legacy ingestion methods with modern Azure AI approaches.
- Enhance solution accuracy by integrating Azure AI Foundry capabilities, including Cognitive Search with vector embeddings and custom RAG endpoints.
- Implement high-level capabilities like multi-step reasoning, context persistence, summarization, and function calling for complex user interactions.
- Design and manage scalable AI/ML pipelines, covering everything from model fine-tuning and versioning to CI/CD, monitoring, and security.
- Serve as the technical lead to design scalable architectures, guiding best practices and ensuring internal teams can maintain the solution post-handoff.
- Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation, including troubleshooting guides and operational playbooks.
- 8+ years in software architecture or cloud engineering, with at least 3+ years specifically focused on production-grade AI/ML solutions.
- Strong hands-on experience with Microsoft Copilot Studio and Azure AI Foundry (formerly Azure AI Studio).
- Expert-level Python for AI/ML development and automation; additional experience in C#,.NET, or Java is preferred.
- Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases.
- Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads.
- Proven ability to troubleshoot, refactor, and optimize existing AI solutions to meet 99.8% accuracy targets.
- Ability to lead architectural discussions with executive stakeholders and translate business needs into technical AI requirements.
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Position Requirements
10+ Years
work experience
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