Our Client, a Media, Information and Services company, is looking for a Senior Copilot & Azure AI Foundry Engineer for their Charlotte, NC location.
Responsibilities:
Copilot Optimization:
Analyze and refactor Copilot Studio agents to eliminate redundancies, improve routing efficiency, and streamline topic structures for better maintainability.
Generative AI Modernization:
Transition static, rule-based topics into grounded generative experiences and replace legacy ingestion methods with modern Azure AI approaches.
Advanced RAG Implementation:
Enhance solution accuracy by integrating Azure AI Foundry capabilities, including Cognitive Search with vector embeddings and custom RAG endpoints.
Sophisticated AI Features:
Implement high-level capabilities like multi-step reasoning, context persistence, summarization, and function calling for complex user interactions.
End-to-End MLOps:
Design and manage scalable AI/ML pipelines, covering everything from model fine-tuning and versioning to CI/CD, monitoring, and security.
Architectural Leadership:
Serve as the technical lead to design scalable architectures, guiding best practices and ensuring internal teams can maintain the solution post-handoff.
Operational Enablement:
Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation, including troubleshooting guides and operational playbooks.
Requirements:
8+ years in software architecture or cloud engineering, with at least 3+ years specifically focused on production-grade AI/ML solutions.
AI Ecosystem:
Strong hands-on experience with Microsoft Copilot Studio and Azure AI Foundry (formerly Azure AI Studio).
Technical Proficiency:
Expert-level Python for AI/ML development and automation; additional experience in C#, .NET, or Java is preferred.
AI Specialization:
Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases.
MLOps & DevOps:
Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads.
Problem Solving:
Proven ability to troubleshoot, refactor, and optimize existing AI solutions to meet 99.8% accuracy targets.
Soft Skills:
Ability to lead architectural discussions with executive stakeholders and translate business needs into technical AI requirements.
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
Founded in 2000
2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.
Skills
Analysis Skillsunmatched
Architectural Designunmatched
Architectural Servicesunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Best Practicesunmatched
Cloud Architectureunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
DevOpsunmatched
Documentationunmatched
Ecosystemsunmatched
Health Planunmatched
Identify Issuesunmatched
Javaunmatched
Leadershipunmatched
Microsoft .NETunmatched
Microsoft C# (C Sharp)unmatched
Microsoft Product Familyunmatched
Microsoft Windows Azureunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Refactoringunmatched
Security Monitoringunmatched
Software Architectureunmatched
Software Engineeringunmatched
Technical Leadershipunmatched
Technical/Engineering Designunmatched
User Interface/Experience (UI/UX)unmatched
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