AI Engineer – Forward Deployed Engineering (AI FDE)
Databricks Mosaic · United States · Remote - California
CHECKED 13H AGO
Infrastructureremoteexperienced$153k–$210k
At a glance
Highlights
- Build and productionize first-of-its-kind GenAI applications for customers.
- Own production rollouts of consumer and internal GenAI applications.
- Present at Data + AI Summit as a recognized thought leader.
What they offer
- Annual performance bonus
- Equity
- Comprehensive benefits
Ideal candidate
Customer-obsessed experienced engineer who loves GenAI and solving real problems alongside customers and teammates. Collaborative, curious life-long learner passionate about production impact and sharing ideas.
Requirements
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL and fine-tuning
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive hands-on industry data science experience with pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade ML deployments on AWS, Azure, or GCP
- Graduate degree in quantitative discipline or equivalent practical experience
- Experience communicating technical concepts to technical and non-technical audiences
- Willing to travel once every 4-8 weeks to see customers as needed
- Preferred experience with Databricks Intelligence Platform and Apache Spark for large-scale datasets
- remote policy
- Open to remote locations
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration