Databricks AI Engineer

Databricks AI Engineer Harnham, the leading recruitment specialist in Data and AI, is partnering with a Databricks consulting organisation delivering enterprise‑scale GenAI solutions. They are hiring experienced Forward Deployed Engineers to build and deploy production‑ready AI systems for end clients. • Role: Databricks AI Engineer • Location: Remote • Pay: $90 - $110 per hour W2 (or via your own LLC) • Length: 12 month contract (extendable) • Utilization: 40 hours/week The Role As a Databricks AI Engineer, you will deliver end‑to‑end GenAI solutions directly to enterprise clients. This is a highly hands‑on, delivery‑focused role, not traditional data science, focused on building, deploying, and scaling LLM and RAG applications on the Databricks platform. You’ll work in a client‑facing capacity, owning projects from initial scoping through to production deployment. Key Responsibilities • Deliver E2E GenAI solutions on Databricks • Build RAG and LLM‑based applications using enterprise data • Implement vector search and agentic workflows (LangChain, etc.) • Productionise AI systems using CI/CD, MLOps, and cloud pipelines • Work directly with clients to deploy and optimise AI solutions Requirements • 5+ years in AI/ML engineering or data systems • Strong hands‑on expertise with Databricks (Spark, MLflow, Unity Catalog) • Proficiency in Python and tools such as LangChain, OpenAI, Hugging Face • Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI) • Experience with vector databases (Pinecone, FAISS, Weaviate, etc.) • Strong cloud and CI/CD experience (AWS, Azure, or GCP) • Excellent communication skills for client‑facing delivery • Databricks certifications (ML Engineer, GenAI, Data Engineer) Next Steps If you are interested in this opportunity, please apply below