AI Forward Deployed Engineer

Databricks

. Develop cutting-edge GenAI solutions using techniques from Databricks AI research to solve customer problems .

Posted 11/4/2026full-timeRemote • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying GenAI applications, leveraging tools such as HuggingFace and LangChain, while effectively communicating technical concepts to diverse audiences. Proven ability to collaborate cross-functionally and drive business value through innovative AI solutions.

Highest-signal resume keywords

GenAI Application DevelopmentProduction-Grade Machine Learning DeploymentsHuggingFace ExperienceData Science Tools ProficiencyGraduate Degree in Quantitative Discipline

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI ApplicationsRAGMulti-Agent SystemsText2SQLFine-TuningMachine Learning DeploymentsData SciencePandasScikit-LearnPyTorch

Soft Skills

Technical CommunicationCollaborationLifelong LearningCustomer Engagement

Tools & Technologies

AWSAzureGCPDatabricks Intelligence PlatformApache Spark

Industry Keywords

AI SolutionsData ScienceTechnical AdvisorProduct RoadmapEvaluation and Optimisations

Tech Stack

Tools & technologies

ApacheAWSAzureGoogle Cloud PlatformPandasPyTorchScikit-LearnSpark

About the role

Key responsibilities & impact

Develop cutting-edge GenAI solutions using techniques from Databricks AI research to solve customer problems
Own production rollouts of consumer-facing and internally facing GenAI applications
Serve as a trusted technical advisor to customers across varied domains
Present at conferences such as Data + AI Summit and act as a thought leader internally and externally
Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap
Report to the Senior Manager - AI FDE, EMEA

Requirements

What you’ll need

Minimum 4 years' experience
Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning
Experience with HuggingFace, LangChain, and DSPy
Expertise deploying production-grade GenAI applications, including evaluation and optimisations
Extensive hands-on industry data science experience using tools such as pandas, scikit-learn, and PyTorch
Experience building production-grade machine learning deployments on AWS, Azure, or GCP
Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience
Experience communicating and/or teaching technical concepts to technical and non-technical audiences
Passion for collaboration, lifelong learning, and driving business value through AI
Willingness to travel once every 4–8 weeks to see customers as needed
Preferred: experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets

Benefits

Comp & perks

Comprehensive benefits and perks; specific regional benefits are provided via the linked benefits document
Remote work for candidates based in the France region
Opportunities to present at conferences such as Data + AI Summit
Professional services and customer-facing AI project experience
Collaboration with engineering, product, developer relations, and internal subject matter expert teams