Strong software engineering skills in Python, C#, JavaScript/TypeScript, REST APIs, and cloud-native architectures.
Hands-on experience with Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agents, and Azure Machine Learning.
Experience building AI Agents, Copilots, and Agentic workflows leveraging tool calling, memory, orchestration, and planning capabilities.
Knowledge of Agentic frameworks such as Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, or equivalent platforms.
Experience implementing RAG, vector databases, embeddings, prompt engineering, evaluation frameworks, and knowledge retrieval architectures.
Understanding of modern data platforms including Microsoft Fabric, Databricks, Azure Data Services, and enterprise knowledge foundations.
Familiarity with MLOps, LLMOps, Responsible AI, security, governance, and compliance practices.
Strong consulting, stakeholder engagement, and problem-solving capabilities.
A passion for innovation, a growth mindset, and the ability to combine deep technical expertise with consulting skills to help clients realize measurable business value through AI.