AI Forward Deployed Engineer
Databricks1 day ago
London, United KingdomIntern / Entry Level / Mid Level / Senior / Staff+
Responsibilities
- Develop GenAI solutions using current techniques from 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 multiple domains.
- Present at conferences such as Data + AI Summit and act 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 in data science, machine learning, or AI.
- Experience building GenAI applications involving RAG, multi-agent systems, Text2SQL, fine-tuning, HuggingFace, LangChain, and DSPy.
- Expertise deploying production-grade GenAI applications, including evaluation and optimization.
- Extensive hands-on industry data science experience with tools such as 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 or teaching technical concepts to both technical and non-technical audiences.
- Preferred experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed data processing.
- Passion for collaboration, continuous learning, and delivering business value through AI.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- Based in London, United Kingdom, with customer travel approximately once every 4–8 weeks as needed.
Tech Stack
Categories
Forward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.