Hands-on GenAI/LLM work (RAG, LangChain, HuggingFace) and LLMOps to productionize models — rapid prototyping and production deployments with modern GenAI tooling.
About the Role
The AI Forward Deployed Engineer (AI FDE) at Databricks is a customer-facing role that builds and productionizes GenAI applications and LLM-based solutions. The role partners with customers and cross-functional teams to deliver production rollouts, act as a technical advisor, and influence product priorities while being based in France (preferred Paris) with remote applicants accepted within France.
Job Description
Role
Databricks is hiring an AI Forward Deployed Engineer (AI FDE) to work on customer-facing engagements that build, deploy, and operationalize GenAI and LLM-based applications. The role partners with customers and internal teams (engineering, product, developer relations) to deliver production-grade solutions and influence product direction.
Key Responsibilities
- Develop cutting-edge GenAI solutions and incorporate Databricks AI research techniques to solve customer problems.
- Own production rollouts of consumer and internal GenAI applications, including evaluation and optimizations.
- Serve as a trusted technical advisor to customers across domains and present at conferences (e.g., Data + AI Summit).
- Collaborate cross-functionally with product and engineering teams to influence priorities and shape the roadmap.
Requirements
- Experience building GenAI applications and patterns such as RAG, multi-agent systems, Text2SQL, and fine-tuning.
- Hands-on industry experience in data science and machine learning using common tools (e.g., pandas, scikit-learn, PyTorch).
- Experience deploying production-grade ML/GenAI applications and familiarity with cloud platforms (AWS, Azure, or GCP).
- Strong communication skills; ability to explain technical concepts to technical and non-technical audiences.
- Graduate degree in a quantitative discipline or equivalent practical experience.
- Willingness to travel to customer sites approximately once every 4–8 weeks as needed.
Preferred
- Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.
Location & Remote
- Preferred location: Paris, France. Remote applicants are welcome only if based in France (not from other countries).