Ai Forward Deployed Engineer - France

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.

Hands-on GenAI/LLM work (RAG, LangChain, HuggingFace) and LLMOps to productionize models — rapid prototyping and production deployments with modern GenAI tooling.

Location: Paris, France

Posted: 2 days ago

Category: AI/ML & Data

Vibe Markers: 💻 Open Source, 🔥 Hot

Experience Level: Senior

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).

Tech Stack

HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, AWS, Azure, GCP, Databricks Intelligence Platform, Apache Spark, RAG, Text2SQL, Genie, Lakebase, Agent Bricks, Lakeflow, Unity Catalog

Skills

GenAI, Machine Learning, Data Science, LLMOps, Model Deployment, Model Evaluation, Cross-functional Collaboration, Customer-facing Consulting, Communication, Presentation/Public Speaking, Teaching/Training, Research