- Gen AI, Azure Open AI, custom build AI Chatbots with Python

- Core LLM Implementation, RAG Architecture, Prompt Engineering, and Model Integration.

- Technical Leadership : Define the overall technical strategy and architecture for Generative AI solutions, ensuring alignment with business goals.

- Azure OpenAI Strategy : Lead the design and implementation of solutions utilizing Azure OpenAI Service (GPT models, Embeddings) including model selection, tuning, and prompt engineering best practices.

- Develop and maintain complex, dynamic prompts for both chat and other generative tasks, focusing on maximizing model accuracy and reducing hallucinations.

- Architecture & Governance : Oversee the development of robust, scalable, and secure custom AI chatbot builds and Retrieval-Augmented Generation (RAG) systems.

- MLOps & DevOps Oversight : Drive the implementation of MLOps principles and DevOps practices (CI/CD, automated testing) to ensure repeatable and reliable deployment of AI models and applications on Azure.

- Team Management : Mentor the development team, conduct code reviews, establish coding standards (especially for Python), and manage the project backlog.

- Expert-level proficiency in Python and key AI/ML frameworks (e.g., LangChain, Semantic Kernel).

- Deep expertise in Azure OpenAI Service and the broader Azure AI ecosystem.

- Proven experience leading the development and deployment of custom chatbot or conversational AI systems.

- Strong background in DevOps/MLOps tools (Azure DevOps, GitHub Actions, Terraform).