About the role

Headquarters: Remote - India

CSQ326R35

AI Engineer - FDE (Forward Deployed Engineer)

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

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

What we look 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

[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)

About Databricks

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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

To apply: https://weworkremotely.com/remote-jobs/databricks-ai-engineer-fde-forward-deployed-engineer

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role

Technology & IT Data Analysis Operations Remote Collaboration Engineer Fde remote

Likely questions

Tell us about work you have done that is close to the AI Engineer - FDE (Forward Deployed Engineer) role.
How would you approach your first 30 days at Databricks?
Which of Data Analysis, Operations and Remote Collaboration have you used recently, and what did it help you achieve?
Describe a time you solved a problem without waiting to be told exactly what to do.
How do you stay organised and communicate clearly when working remotely?

Prepare before the call

A recent example that proves your experience with Data Analysis, Operations and Remote Collaboration.
One short story with a problem, your action, and the result.
Two examples that show the strengths listed on your CV.
A clear reason why this role and company interest you.
Your availability, preferred work style, and salary expectations.

Ask them

What would success look like in the first 90 days?
What are the main problems this hire should help solve?
How does the team give feedback and measure good work?
What does a normal working week look like for this role?

Practice line

I am interested in the AI Engineer - FDE (Forward Deployed Engineer) role because I can bring practical experience in Data Analysis, Operations and Remote Collaboration, learn the team quickly, and contribute to the outcomes Databricks needs from this hire.