Description
We are seeking an AI Engineer - FDE (Forward Deployed Engineer) to join our team in the U.S. Federal Sector. As an AI Engineer, you will develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems. You will own production rollouts of consumer and internally facing GenAI applications, serve as a trusted technical advisor to customers across a variety of domains, and 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. 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).
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
What we look for:
- 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)
This role can be remote. The pay range for this role is $185,920-$255,640 USD per year, depending on location and experience. Databricks offers a comprehensive benefits package, including annual performance bonus, equity, and paid time off.