AI Engineer
Databricks
About the Role
The AI Forward Deployed Engineering (AI FDE) team is a specialized, customer-facing AI team at Databricks. This role delivers professional services engagements to help customers build and productionize AI applications. The team works cross-functionally to shape strategic priorities and initiatives with engineering, product, and developer relations, and supports internal subject matter expert (SME) teams.
This role can be remote.
The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on-site work and client collaboration.
The Impact You Will Have
- 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.
Key Responsibilities
- Develop cutting-edge GenAI solutions.
- Own production rollouts of GenAI applications.
- Serve as a trusted technical advisor to customers.
- Present at conferences.
- Collaborate cross-functionally with product and engineering teams.
Requirements & Tech Stack
- 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.
- 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).
Qualifications
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
Additional Requirements
- U.S. citizenship and eligibility for a U.S. government secret clearance are required due to federal contract requirements and client site access obligations.
- Candidates with an active Secret or higher clearance are strongly encouraged to apply.