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AI Forward Deployed Engineer
Databricks. Develop cutting-edge GenAI solutions using the latest Databricks AI research to solve customer problems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 with cross-functional teams to drive product innovation and deliver business value through AI solutions.
Highest-signal resume keywords
GenAI Application DevelopmentHuggingFace ExperienceAWS Machine Learning DeploymentsData Science ExpertiseProduction-Grade Application Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GenAI ApplicationsRAGMulti-Agent SystemsText2SQLFine-TuningPandasScikit-LearnPyTorchMachine Learning ToolsApache Spark
Soft Skills
Technical CommunicationCollaborationLifelong LearningCustomer Engagement
Tools & Technologies
Databricks AI ResearchLangChainDSPyDatabricks Intelligence PlatformAWSAzureGCP
Industry Keywords
Data ScienceMachine LearningAI SolutionsQuantitative DisciplineTechnical Advisor
Tech Stack
Tools & technologiesApacheAWSAzureGoogle 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 and act as a thought leader internally and externally
- 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, PyTorch, and common machine learning/data science tools
- 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
- Candidates must be based in the Germany region; remote work is not available from other countries
Benefits
Comp & perks- Comprehensive benefits and perks tailored to regional employee needs (specific details provided via Databricks' regional benefits document)
- Remote work option for applicants located near Databricks offices in Germany