Databricks
AI Engineer - FDE (Forward Deployed Engineer)
About this role
Databricks seeks an experienced AI Engineer to join its Forward Deployed Engineering team, delivering professional services to help customers build and deploy production-grade generative AI and LLM applications. This customer-facing role combines hands-on AI development with technical advisory work across multiple cloud platforms and requires proven expertise in shipping GenAI solutions at scale.
What you'll do
- Design and develop production-grade GenAI solutions using techniques like RAG, multi-agent systems, and fine-tuning
- Lead end-to-end deployment and optimization of consumer and internal GenAI applications
- Serve as technical advisor to customers across diverse domains on AI implementation strategies
- Collaborate cross-functionally with product and engineering teams to influence roadmap priorities
- Present at industry conferences and establish thought leadership on GenAI and LLMOps
- Travel to customer sites approximately once every 4-8 weeks as needed
What they're looking for
- GenAI application development (RAG, multi-agent systems, Text2SQL, fine-tuning)
- LLM frameworks (HuggingFace, LangChain, DSPy)
- Production ML deployment on AWS, Azure, or GCP
- Data science tools (pandas, scikit-learn, PyTorch)
- Databricks Intelligence Platform and Apache Spark (preferred)
- Technical communication to both technical and non-technical audiences
- Production-grade ML evaluation and optimization
- Distributed data processing and large-scale systems
Benefits
- Annual performance bonus eligibility
- Equity compensation
- Opportunity to shape product roadmap and strategy
- Conference speaking and thought leadership platform
- Work with leading-edge GenAI research and techniques
- Remote work flexibility across multiple locations
Opens the official application on the employer’s site. No login required.
Databricks
Databricks builds a unified data and AI platform that combines database systems, distributed computing, and generative AI capabilities across multi-cloud infrastructure. The company is hiring software engineers, applied AI engineers, and web engineers to develop core database engines, ML/AI features, inference systems, and user-facing products.
- Website
- databricks.com
Likely interview questions
- Walk us through a GenAI application you built from concept to production—what were the key technical challenges and how did you optimize it?
- How have you approached evaluating and improving the quality of LLM outputs in production systems?