Senior Technical Architect - Gen AI

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Requirements:

• 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.

Responsibilities:

• 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.