Databricks Engineer – GenAI / AI Engineering

Start Date: May 2026 End Date: September 2026 Locations: London Sector: Banking Daily Rate: Inside IR35 Payroll provider – Rockford Payroll Info for Contingent Workers – Rockford Pay We are hiring Databricks Engineers across Consultant, Senior Consultant, and Manager levels for a leading banking client in London, focused on delivering enterprise-scale Generative AI and advanced data engineering solutions. This is not a traditional Data Engineering role. We are looking for professionals who can build and deploy production-grade AI solutions using Databricks, combining strong engineering capability with hands-on GenAI delivery experience. You will work on cutting-edge AI initiatives including LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, vector search, and enterprise AI deployment across large-scale banking environments. What You’ll Be Doing • Design, build, and deploy enterprise-grade Generative AI applications using Databricks • Develop LLM-powered applications using RAG architectures • Build agentic AI workflows using LangChain and LangGraph • Implement vector search, embeddings, and semantic retrieval systems • Develop scalable data pipelines using Python, SQL, and PySpark • Leverage Databricks Mosaic AI, MLflow, and Lakehouse architecture • Optimise AI model performance, evaluation, and deployment • Work closely with business stakeholders and technical teams across major banking transformation programme What We’re Looking For • Strong hands-on experience with Databricks • Python, SQL, and PySpark expertise • Experience building Generative AI / LLM applications • RAG pipeline development experience • langChain and/or LangGraph experience • Understanding of vector databases, embeddings, and semantic search • Eperience with MLflow, Delta Lake, and modern data platform architecture • Strong stakeholder engagement skills • Banking or Financial Services experience preferred Seniority Levels Consultant Hands-on delivery focused with strong engineering capability and experience building AI solutions within Databricks environments. Senior Consultant Solution ownership, architecture design, and technical leadership across delivery workstreams. Manager Programme ownership, enterprise GenAI delivery leadership, stakeholder management, and strategic architecture oversight. Nice to have • Databricks Mosaic AI • Azure OpenAI / OpenAI / AWS Bedrock • MLOps and CI/CD • Responsible AI / Governance frameworks • Financial Services domain expertise Why join This is an opportunity to work on some of the most advanced AI transformation programmes in banking, helping shape how enterprise GenAI is deployed at scale. If you are passionate about Databricks, AI Engineering, and building real-world GenAI solutions, we’d love to hear from you.