Senior AI Agent Engineer

• Design, develop, test, and deploy enterprise AI agents, copilots, and multi-agent systems using Azure AI Foundry, Copilot Studio, Python-based frameworks, and other approved technologies.
• Develop prompts, instructions, tool definitions, routing, and orchestration workflows while implementing grounding, citations, retrieval, context management, guardrails, and human-review patterns.
• Integrate AI agents with enterprise tools and APIs, build rapid prototypes, and validate solutions with business users.
• Create automated evaluations and continuously optimize agent quality, latency, reliability, observability, and cost while supporting production monitoring and troubleshooting.

Artificial Intelligence (AI), Python Programming/Scripting Language, MCP - Microsoft Certified Professional, Kernel Programming, Microsoft Windows Azure, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Test Plan/Schedule, Application Programming Interface (API), Rapid Prototyping, * 5+ years of software development experience, including 2+ years developing Generative AI, AI assistant, or agent-based applications.

• Strong hands-on experience with Generative AI (mandatory/deal-breaker skill).
• Experience with Azure AI Foundry, Azure OpenAI, and Copilot Studio.
• Strong Python development skills and experience integrating REST APIs and cloud services.
• Experience with Semantic Kernel, MCP, and agent orchestration.
• Strong knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG).
• Experience implementing agent evaluation, guardrails, grounding, citations, and context management.
• Knowledge of observability, monitoring, and continuous improvement practices for production AI applications.
• Experience developing and deploying secure, testable enterprise applications.
• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

Preferred Skills:

• Advanced experience with Azure AI Foundry and Copilot Studio.
• Experience with Semantic Kernel, MCP, multi-agent systems, or comparable orchestration frameworks.
• Experience implementing RAG, automated evaluation pipelines, citations, and tool-use controls.
• Azure AI Engineer or related certification.