AI Engineer - FDE (Forward Deployed Engineer)
Databricks
Remote - IndiaremotePosted 1 month ago
Skill Required
Professional Services OperationsAI EngineerAIMachine LearningScikit-learnEngineeringStatisticsDatabricksLangChainbuildingPyTorchetc.)PandasSparkAzureUnityGenerative AIRAGAWSGCP
Key highlights
- Open to remote locations
- Travel required once every 4‑8 weeks
- Graduate degree in a quantitative discipline or equivalent experience
- Experience building GenAI applications (RAG, multi‑agent, Text2SQL, fine‑tuning)
- Production‑grade ML deployments on AWS, Azure, or GCP
- Comprehensive benefits and perks
Role overview
The AI Forward Deployed Engineering (AI FDE) team at Databricks is a customer‑facing, specialist AI group that delivers professional‑services engagements to help customers build and productionize first‑of‑its‑kind AI applications. The role works cross‑functionally with engineering, product, developer relations, and internal SME teams, shaping long‑term strategic priorities while serving as a trusted technical advisor and thought leader.
Responsibilities
- Develop cutting‑edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
- Own production rollouts of consumer and internally facing GenAI applications
- Serve as a trusted technical advisor to customers across a variety of domains
- Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
- Collaborate cross‑functionally with the product and engineering teams to influence priorities and shape the product roadmap
Requirements
- Experience building GenAI applications, including RAG, multi‑agent systems, Text2SQL, fine‑tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production‑grade GenAI applications, including evaluation and optimizations
- Extensive years of hands‑on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit‑learn, PyTorch, etc.
- Experience building production‑grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non‑technical and technical audiences alike
- Passion for collaboration, life‑long learning, and driving business value through AI
- Willing to travel once every 4‑8 weeks to see customers (as needed)
Nice to have
- Experience using the Databricks Intelligence Platform and Apache Spark™ to process large‑scale distributed datasets
Benefits
- Comprehensive benefits and perks that meet the needs of employees (specific details vary by region)
Additional details
- Job code: CSQ326R35
- Open to remote locations
- About Databricks: More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform; headquarters in San Francisco with 30+ offices globally
- Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog
- Company commitment to diversity, inclusion, and equal employment opportunity
- Compliance statement regarding export‑controlled technology and possible U.S. government license requirements