Senior Technical Architect - Gen AI

November 2

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11 - 50 employees

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Description

• We are seeking a seasoned Senior Technical Architect with expertise in Generative AI (Gen AI) and Large Language Models (LLMs) to lead cutting-edge projects and deliver AI-driven solutions. • You will leverage your extensive experience in machine learning, prompt engineering, and retrievable augmented generation (RAG) to design, build, and optimize enterprise-grade AI solutions. • You will play a critical role in guiding our engineering teams, aligning projects with technical roadmaps, and collaborating with stakeholders to ensure business alignment and innovation. • This role is ideal for someone passionate about harnessing the power of Gen AI to solve complex business problems. • 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 your knowledge of cloud platforms (Azure, GCP, or AWS) to architect secure, scalable, and efficient GenAI solutions.

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.