AI Engineer - FDE (Forward Deployed Engineer)

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)

Req ID: CSQ127R84

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialised 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 specialisations 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.

We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK) Munich (Germany) Paris (France) and Amsterdam (NL).

The impact you will have:

• Develop cutting-edge GenAI solutions incorporating the latest techniques from our Mosaic 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

• We require fluency in English and welcome candidates who also speak French or German