Lead Databricks Forward Deployed Engineer - GPS
Arlington/Rosslyn, Virginia, United States; Atlanta, Georgia, United States; Austin, Texas, United States; Chicago, Illinois, United States; Nashville, Tennessee, United States; New York, New York, United States; Sacramento, California, United States; San Diego, California, United States
USD 189K-372K Senior-level Full Time
Tasks
- Architect and oversee LLM enabled applications
- Coordinate multi pod or multi workstream engagements
- Define evaluation frameworks for quality hallucination risk safety latency cost governance
- Define success metrics and phased prototype to production plans
- Enforce CI CD logging versioning testing and documentation
- Govern RAG pipeline design and production scalability
- Guide data pipeline architecture for GenAI use cases
- Lead forward deployed engineering pods
- Mentor and develop junior engineers
- Remove delivery blockers and resolve technical delivery issues
- Serve as senior client engineering partner
- Set direction for prompt engineering and tool use patterns
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Agent Bricks | Airflow | Apache Spark | Automation | Azure | CI/CD | DBT | Data Modeling | Databricks | Databricks Apps | DevOps | Embeddings | Evaluation Frameworks | Event Driven | Event-driven architecture | Genie | Google Cloud | Hybrid search | LLM | LLMOps | Lakebase | Lakeflow Connect | Lakehouse | Language Models | Large Language Models | Logging | MLOps | Microservices | Model Monitoring | Model Serving | Prompt engineering | Prompt management | Python | RAG | Retrieval-Augmented Generation | SQL | Streaming | Vector Databases | Vector Retrieval | Version control
Education
Roles
Databricks Engineer | Engineer | Lead | Lead Databricks Engineer
Regions
Countries
States
Georgia, US | Tennessee, US | Texas, US | Illinois, US | New York, US | California, US | Virginia, US
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