Senior Technical Architect - Gen AI

10+ years of professional experience building and deploying machine learning models and systems. 1+ years of hands-on experience with LLMs and GenAI techniques, especially prompt engineering, RAG systems, and agents. Proven experience in client-facing LLM and RAG implementations. Strong programming skills in Python, Langchain, and SQL. Familiarity with cloud services and infrastructure (Azure, GCP, AWS). Exceptional communication skills, with the ability to work effectively with business SMEs, translating technical concepts into business insights.

Lead GenAI Client Engagements: Oversee client-facing engagements, translating business needs into technical solutions and aligning the engineering team toward an actionable roadmap. Architect Machine Learning Systems: Design and build AI/ML systems with a focus on LLMs, RAG, and agents, including solution workflow and pipeline design. Business Analysis and Requirement Gathering: Collaborate with business SMEs to perform in-depth analyses, gather requirements, and design scalable solutions for GenAI and machine learning projects. Code Development & Review: Leverage hands-on skills in Python, Langchain, and SQL to develop, test, and review code, ensuring adherence to best practices and project requirements. Optimize Cloud Infrastructure: Use knowledge of cloud platforms (Azure, GCP, or AWS) to architect secure, scalable, and efficient GenAI solutions.