AI Engineer - FDE (Forward Deployed Engineer)
Databricks2 months ago
Base Salary
$153k - $210k/yr
Responsibilities
- Develop GenAI solutions using current AI research and techniques to solve customer problems.
- Own production rollouts of consumer-facing and internal GenAI applications.
- Serve as a trusted technical advisor to customers across varied domains.
- Present at conferences and act as an internal and external thought leader.
- Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
Requirements
- Demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale.
- Experience building GenAI applications involving RAG, multi-agent systems, Text2SQL, and fine-tuning using tools such as HuggingFace, LangChain, and DSPy.
- Expertise deploying production-grade GenAI applications, including evaluation and optimization.
- 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 or teaching technical concepts to both technical and non-technical audiences.
- Preferred experience with the Databricks Intelligence Platform and Apache Spark.
- Willingness to travel approximately once every 4–8 weeks to visit customers as needed.
Benefits
- Remote locations are supported.
- Comprehensive regional benefits and perks are offered.
- The role may include annual performance bonus and equity eligibility in addition to benefits.
- Travel to customers is expected approximately once every 4–8 weeks as needed.
Tech Stack
Categories
Forward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.