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Databricks
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AI Engineer - FDE (Forward Deployed Engineer)
ICT
Company shared salary
NA
Market rate
₹450,000–₹800,000/mo (₹5,400,000–₹9,600,000/yr)
Based on similar roles (title + domain + location).
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.
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.
- ● 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).
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