Copilot and Azure AI Foundry Engineer (On-site, Charlotte)

Key Responsibilities

• Optimize and enhance Microsoft Copilot Studio agents by improving topic structures, routing logic, and overall solution maintainability.
• Transition traditional rule-based conversational experiences into modern generative AI solutions using Azure AI services.
• Design and implement advanced Retrieval-Augmented Generation (RAG) architectures leveraging Azure AI Foundry, Cognitive Search, vector databases, and embeddings.
• Develop sophisticated AI capabilities including context retention, multi-step reasoning, summarization, orchestration, and function calling.
• Build and manage end-to-end MLOps pipelines, including model deployment, versioning, monitoring, CI/CD processes, and governance.
• Serve as a technical leader, defining scalable cloud and AI architectures while establishing best practices for development and operations.
• Develop infrastructure-as-code solutions and create operational documentation, troubleshooting guides, and support playbooks.
• Collaborate with business and technical stakeholders to translate requirements into effective AI solutions.

Required Qualifications

• 8+ years of experience in software engineering, cloud engineering, or solution architecture.
• 3+ years of hands-on experience delivering production AI/ML solutions.
• Strong experience with Microsoft Copilot Studio and Azure AI Foundry.
• Expert-level Python development experience focused on AI, automation, and cloud solutions.
• Experience with one or more additional development languages such as C#, .NET, or Java.
• Deep understanding of Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector search technologies.
• Experience with MLOps practices, model lifecycle management, CI/CD pipelines, and cloud-native architectures.
• Strong troubleshooting and optimization skills with the ability to improve existing AI platforms.
• Excellent communication skills with experience presenting technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience designing enterprise-scale AI platforms in Azure.
• Knowledge of serverless architectures and cloud automation.
• Experience implementing responsible AI, security, and governance best practices.
• Strong documentation and knowledge-transfer skills.