Summary
Join our team as a Senior Technical Architect - Generative AI (Gen AI) and lead cutting-edge projects delivering AI-driven solutions. Leverage your expertise in machine learning, prompt engineering, and retrievable augmented generation to design, build, and optimize enterprise-grade AI 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
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 your knowledge of cloud platforms (Azure, GCP, or AWS) to architect secure, scalable, and efficient GenAI solutions