onsite
Lead AI Data Engineer - EXL Service
Data Engineer
Lead the design and delivery of enterprise‑grade agentic and LLM solutions, driving scalable GenAI system patterns, architecture governance, and advanced prompt engineering across multiple projects.
About the role
Key Responsibilities
- Architect and lead the technical direction for enterprise‑grade agentic and LLM solutions, including single‑agent, multi‑agent, and tool‑driven workflows.
- Define and implement scalable GenAI system design patterns such as Retrieval‑Augmented Generation (RAG), orchestration layers, and evaluation frameworks.
- Serve as the technical anchor for GenAI initiatives, conducting design reviews, establishing architecture governance, and promoting best practices.
- Design and build agentic systems using LLMs for knowledge assistants, document automation, and workflow orchestration, applying advanced prompt engineering techniques.
- Collaborate with cross‑functional teams to translate business requirements into robust, production‑ready AI solutions.
Requirements
- Extensive experience in Python and LLM engineering, with a strong background in GenAI and agentic AI architectures.
- Proven ability to design scalable, enterprise‑grade AI systems, including RAG and orchestration layers.
- Deep knowledge of prompt engineering, evaluation frameworks, and best practices for LLM deployment.
- Strong architectural and technical leadership skills, with a track record of driving design reviews and governance.
- Excellent communication and collaboration skills, able to work effectively with cross‑functional teams.