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Senior Copilot & Azure AI Foundry Engineer
ICONMA, LLC
🇺🇸 United States
On-site
Senior
4 months ago
$140,000 – $145,000 / year
- Copilot
- Azure AI
- Foundry
- Copilot Studio
- Machine Learning
- RAG
- AI
- MLOps
- AI/ML
- CI/CD
- IaC
- Python
- C#
- .NET
- Java
- Devops
4 months ago
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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.
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Senior Copilot & Azure AI Foundry Engineer · ICONMA, LLC