AI Forward Deployed Engineer
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Job Description
AI Forward Deployed Engineer building and deploying GenAI applications for Databricks’ Data and AI platform. Advising customers and shaping product priorities through cross-functional collaboration.
Responsibilities:
- 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:
- 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:
- 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
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