- Build and support AI agents and intelligent workflows using Microsoft Azure tools such as Azure OpenAI, AI Foundry, and Copilot Studio.
- Design and implement AI-powered orchestration and automation for use cases such as configuration streamlining, onboarding automation, and data migration.
- Collaborate with cross-functional teams to deliver high-quality, scalable AI-driven solutions.
- Develop APIs, scripts, and tools to connect LLM-based agents with existing enterprise systems using standards such as Model Context Protocol (MCP).
- Support testing, evaluation, deployment, monitoring, and continuous improvement of AI workflows in production, including output-quality evaluation and responsible-AI safeguards.
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