About the job
CSQ326R35
Mission
The AI Forward Deployed Engineering (AI FDE) team at Databricks is a premier, customer-centric AI team dedicated to revolutionizing AI application development. We engage in professional service projects that empower our clients to create and deploy groundbreaking AI solutions. By collaborating across various functions—including engineering, product development, and developer relations—we help shape strategic initiatives that drive innovation. We are looking for dynamic individuals with distinct skill sets to enhance our team's capabilities. If you have a passion for collaborating with clients and colleagues while staying updated on the latest advancements in Generative AI, LLMOps, and Machine Learning, this role is perfect for you. This position is fully remote.
Your Impact:
- Design and implement innovative Generative AI solutions using our Mosaic AI research to address complex client challenges.
- Take ownership of rolling out GenAI applications for both consumer and internal stakeholders.
- Act as a trusted technical consultant to clients across diverse sectors.
- Represent Databricks at industry events, including the Data + AI Summit, establishing yourself as a thought leader.
- Work collaboratively with product and engineering teams to influence development priorities and guide the product roadmap.
What We Seek:
- Proven experience in creating Generative AI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, utilizing tools like HuggingFace, LangChain, and DSPy.
- At least 5 years of relevant experience as a Data Scientist, ideally in a consulting capacity.
- Strong expertise in deploying production-level Generative AI applications, with a focus on evaluation and optimizations.
- Hands-on experience in data science, utilizing popular ML tools such as pandas, scikit-learn, and PyTorch.
- Experience with production-grade machine learning deployments on platforms such as AWS, Azure, or GCP.
- Graduate degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience.
- Ability to communicate technical concepts to both technical and non-technical audiences effectively.
- A passion for teamwork, continuous learning, and leveraging AI to create business value.
- [Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for processing large-scale datasets.

