Senior AI Engineer, AI FDE
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Job Description
Senior AI Engineer building and deploying production GenAI applications for Databricks customers. Advising customers and shaping AI product roadmaps through Databricks professional services.
Responsibilities:
- Develop cutting-edge GenAI solutions using the latest 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 a variety of domains
- Present at conferences such as Data + AI Summit
- Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap
- Support internal subject matter expert teams and strategic initiatives
Requirements:
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., using tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive hands-on industry data science experience using 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 and/or teaching technical concepts to non-technical and technical audiences
- Willingness to travel once every 4-8 weeks to see customers as needed
Benefits:
- Comprehensive benefits and perks; specific details vary by region and are provided via the Databricks regional benefits document
- Remote work arrangement
- Opportunity to present at conferences such as Data + AI Summit
- Opportunity to be recognized as a thought leader internally and externally
- Opportunity to collaborate with product and engineering teams and influence priorities and product roadmap
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