AI Forward Deployed Engineer

Databricks

. Develop cutting-edge GenAI solutions using the latest Databricks AI research to solve customer problems .

Posted 11/4/2026full-timeRemote • SwedenMid-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 Databricks. Strong ability to communicate technical concepts effectively to diverse audiences while driving collaboration and business value through AI solutions.

Highest-signal resume keywords

GenAI Application DevelopmentHuggingFace ExperienceProduction-Grade Machine Learning DeploymentsData Science ExpertiseCommunication of Technical Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI ApplicationsRAGMulti-Agent SystemsText2SQLFine-TuningPandasScikit-LearnPyTorchMachine Learning DeploymentsData Science

Soft Skills

CollaborationLifelong LearningTechnical Communication

Tools & Technologies

Databricks Intelligence PlatformApache SparkAWSAzureGCP

Industry Keywords

AI SolutionsTechnical AdvisorThought LeadershipProduct RoadmapCustomer Engagement

Tech Stack

Tools & technologies

ApacheAWSAzureGoogle Cloud PlatformPandasPyTorchScikit-LearnSpark

About the role

Key responsibilities & impact

Develop cutting-edge GenAI solutions using the latest 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 various domains
Present at conferences such as Data + AI Summit
Build internal and external thought leadership
Collaborate 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
Experience with 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
Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets preferred
Willingness to travel once every 4–8 weeks to see customers as needed

Benefits

Comp & perks

Comprehensive benefits and perks; specific details vary by region
Remote work arrangement for candidates based in Sweden
Opportunity to work with customers and cutting-edge GenAI technologies
Conference presentation and thought-leadership opportunities
Cross-functional collaboration with engineering, product, and developer relations teams