About the role
Databricks is a data and AI platform trusted by over 20,000 organizations globally, including 70% of the Fortune 500, to build and scale data applications, analytics, and AI agents. The company operates from 30+ offices worldwide and offers a unified platform spanning data management, generative AI, and enterprise governance.
The AI Forward Deployed Engineering team at Databricks is a specialized group focused on delivering professional services to customers building next-generation AI applications. You will work directly with enterprise clients, alongside product and engineering teams, to architect and deploy production-grade generative AI solutions that solve real business problems.
What you'll do
- Design and build production-ready generative AI applications using current techniques including retrieval-augmented generation, multi-agent systems, Text2SQL, and fine-tuning approaches
- Lead end-to-end deployments of consumer and internally-facing generative AI systems, handling evaluation, optimization, and scaling challenges
- Serve as a primary technical resource for customers across diverse industries, guiding strategic AI implementation decisions
- Establish thought leadership through conference presentations at venues such as Data + AI Summit
- Work with product and engineering leadership to shape platform priorities and influence the technical roadmap based on customer needs
What you'll bring
- Demonstrated expertise building production generative AI applications using tools like HuggingFace, LangChain, and DSPy
- Deep experience deploying and optimizing machine learning systems at scale on cloud platforms including AWS, Azure, or GCP
- Strong hands-on background in data science and machine learning, proficient with pandas, scikit-learn, PyTorch, and similar libraries
- Graduate degree in a quantitative field such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent industry experience
- Ability to explain complex technical concepts clearly to both technical experts and non-technical stakeholders
- Drive to collaborate across teams, continuously learn, and align AI initiatives with business objectives
Nice to have
- Experience with the Databricks Intelligence Platform and Apache Spark for distributed data processing
- Familiarity with LLMOps and emerging trends in generative AI systems
What they offer
- Full-time remote position based in India
- Comprehensive regional benefits package
- Occasional travel to customer sites approximately once every 4-8 weeks
Pay, location & hours
Salary not listed. Fully remote, open to applicants in India. Working hours: APAC-friendly hours.
About Databricks
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