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Sr. AI Engineer, AI FDE

Databricks · Posted Oct 12

Data, analytics, machine learning, and generative AI intelligence platform services

Remote - IndiaFull-timeRemote · India-wideSenior Level6+ years₹50.0L–₹85.0L yearly<25 applicants
Data and AI Platform SoftwareCloud ComputingBig DataArtificial IntelligenceGrowth Stage
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About the role

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized, customer-facing AI team at Databricks that delivers professional services engagements to help customers build and productionize first-of-its-kind AI applications. The team works cross-functionally with engineering, product, and developer relations around GenAI, LLMOps, and ML, leveraging the Databricks Data + AI Platform. This role develops and rolls out production GenAI applications, advises customers as a trusted technical partner, and shapes the product roadmap.

What you will do

  • 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

Skills used in this role

GenAIRAGMulti-Agent SystemsText-to-SQLFine-TuningHugging FaceLangChainDSPypandasscikit-learnPyTorchMachine LearningData ScienceLLMOpsAWSAzureGCPDatabricksApache Spark

What the employer is looking for

  • 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)

Preferred qualifications

  • Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Databricks

Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.

Industry
Data and AI Platform Software
Company size
17300+ employees
Founded
2013
Location
San Francisco, California, USA
Funding stage
Private Company

Funding

Private Company · $25.2B raised

CoatueAndreessen HorowitzInsight PartnersFidelity InvestmentsFranklin Templeton
  • 2026-08-13Series L$5.0B

Leadership

AG
Ali Ghodsi

Co-founder and Chief Executive Officer

MZ
Matei Zaharia

Co-founder and Chief Technology Officer

IS
Ion Stoica

Co-founder and Executive Chairman

DC
David Conte

Chief Financial Officer

RX
Reynold Xin

Co-founder and Chief Architect