Sr. AI Engineer - FDE (Forward Deployed Engineer)
Databricks
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 182,000–250,208/yr
Posted 21d ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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
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
- Willing to travel once every 4-8 weeks to see customers (as needed)
Preferred
- Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
Skills
- GenAI
- RAG
- multi-agent systems
- Text2SQL
- fine-tuning
- HuggingFace
- LangChain
- DSPy
- pandas
- scikit-learn
- PyTorch
- AWS
- Azure
- GCP
- Databricks Intelligence Platform
- Apache Spark
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