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AI Engineer - FDE (Forward Deployed Engineer)Databricks · Remote - India
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Databricks

company page ↗ Visa Sponsoring Company

AI Engineer - FDE (Forward Deployed Engineer)

✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.

🗓️ Posted 2026-08-24 Remote - India Hybrid ICT
💰 Salary Not shared 📊 Market ₹450,000–₹800,000/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide-including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500-rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

Role & 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

Education

  • ● Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.

Skills

  • ● 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.
  • ● 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.
  • ● Preferred: Experience using the Databricks Intelligence Platform and Apache Spark to process large scale distributed datasets.
  • ● Willing to travel once every 4-8 weeks to see customers (as needed).