AI Forward Deployed Engineer (GenAI)

Location: Remote applicants must be based in Sweden; preferred location is Stockholm, Sweden. Travel to customers once every 4–8 weeks as needed.

Company

Databricks is a Data and AI company providing a unified platform for building and scaling data, AI, analytics, and agent applications.

What you will do

• Develop GenAI solutions using current techniques from Databricks AI research to solve customer problems.
• Own production rollouts of consumer-facing and internal GenAI applications.
• Advise customers as a trusted technical expert across varied domains.
• Present at conferences and contribute as an internal and external thought leader.
• Collaborate with product and engineering teams to influence priorities and shape the product roadmap.

Requirements

• At least 4 years of experience, including extensive hands-on industry data science experience.
• Experience building GenAI applications with RAG, multi-agent systems, Text2SQL, fine-tuning, or similar techniques, using tools such as HuggingFace, LangChain, and DSPy.
• Expertise deploying production-grade GenAI applications, including evaluation and optimization.
• Experience with common machine learning and data science tools, including 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.
• Ability to communicate and teach technical concepts to both technical and non-technical audiences.
• Passion for collaboration, lifelong learning, and delivering business value through AI.
• Willingness to travel to customers once every 4–8 weeks as needed.

Nice to have

• Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.

Culture & Benefits

• Customer-facing AI work with cross-functional collaboration across engineering, product, developer relations, and subject matter expert teams.
• Comprehensive benefits and perks tailored to the employee’s region.
• Inclusive culture and hiring practices aligned with equal employment opportunity standards.
• Employment may involve access to export-controlled technology or source code; the employer may apply for or decline to pursue a U.S. government license.