AI Engineer - FDE (Forward Deployed Engineer)
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Overview
Join Databricks as an AI Engineer to develop cutting-edge GenAI solutions and serve as a trusted advisor to customers. Work remotely in the UK and collaborate with cross-functional teams to shape product roadmaps. Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
Responsibilities
- •Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems.
- •Own production rollouts of consumer and internally facing GenAI applications.
- •Serve as a trusted technical advisor to customers across a variety of domains.
- •Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
- •Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.
Conditions
- •Comprehensive benefits and perks that meet the needs of all employees.
- •Commitment to fostering a diverse and inclusive culture where everyone can excel.
Requirements
- •Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
- •Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
- •Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- •Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- •Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
- •Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
- •Passion for collaboration, life-long learning, and driving business value through AI.
- •[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.
- •Willing to travel once every 4-8 weeks to see customers (as needed).