
AI Forward Deployed Engineer
Posted Nov 4

Posted Nov 4
This is a fully remote position, open to applicants in France.
• Design innovative GenAI solutions utilizing methodologies from Databricks AI research to address customer challenges.
• Take ownership of the production deployment of both consumer-facing and internal GenAI applications.
• Act as a reliable technical advisor for clients across diverse sectors.
• Speak at events like the Data + AI Summit and establish yourself as a thought leader within and outside the organization.
• Work collaboratively with product and engineering teams to influence focus areas and develop the product roadmap.
• Report directly to the Senior Manager - AI FDE, EMEA.
• At least 4 years of relevant experience.
• Proven experience in developing GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning techniques.
• Familiarity with HuggingFace, LangChain, and DSPy.
• Proficiency in deploying production-level GenAI applications, including performance evaluations and optimizations.
• Extensive practical experience in industry data science utilizing tools such as pandas, scikit-learn, and PyTorch.
• Experience in building production-grade machine learning deployments on platforms like AWS, Azure, or GCP.
• A graduate degree in a quantitative field such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent hands-on experience.
• Ability to communicate and/or educate on technical concepts to both technical and non-technical audiences.
• A strong enthusiasm for collaboration, ongoing learning, and creating business value through AI.
• Openness to travel every 4–8 weeks to meet with customers as necessary.
• Preferred: experience using the Databricks Intelligence Platform and Apache Spark for processing large-scale distributed datasets.
• A comprehensive range of benefits and perks; specific regional benefits are detailed in the linked benefits document.
• Remote work opportunities for candidates located in the France region.
• Chances to present at conferences such as the Data + AI Summit.
• Experience in professional services and customer-facing AI projects.
• Collaboration with engineering, product, developer relations, and internal subject matter expert teams.
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