Senior Databricks AI Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+7 more
Requirements
We are seeking a Senior Databricks AI Engineer with strong experience in Databricks, PySpark, Python, Machine Learning, and Generative AI to build scalable data pipelines and enterprise AI solutions. The ideal candidate will have hands-on expertise with the Databricks Lakehouse Platform, Delta Lake, LLMs, RAG, LangChain/LangGraph, and cloud platforms such as Azure, AWS, or GCP., * Strong experience with Databricks, PySpark, Spark SQL, Python, and Delta Lake
- Hands-on experience building ETL/ELT pipelines and implementing Lakehouse/Medallion Architecture
- Experience with Machine Learning, MLflow, MLOps, and Databricks Mosaic AI
- Knowledge of Generative AI, LLMs, RAG, LangChain/LangGraph, Vector Databases (FAISS, Pinecone, ChromaDB), and Azure OpenAI/OpenAI
- Experience with Azure, AWS, or GCP, Unity Catalog, Git, CI/CD, and DevOps
Preferred: Databricks Certification, Azure OpenAI experience, Agentic AI, AI Governance, and domain experience in Healthcare, Banking, Retail, or Manufacturing.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.careerjet.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
MLOps And AI Driven Development
Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?