Databricks Senior Solutions Architect _ GenAI focus
Core
Lead end-to-end implementation of data pipelines and GenAI applications (RAG, Agents, Text-to-SQL) on Databricks for Fortune 500 partners.
Role type
Senior Solutions Architect (GenAI focus)
Builds
Production-grade GenAI systems, data pipelines, and LLM applications
Domain
Big Data, Generative AI, Cloud Data Platforms
Deliverable
production ML models
Required skills
Apache Spark (Python/Scala), Databricks Lakehouse architecture, RAG pipelines, agentic workflows, tool-calling LLMs, prompt engineering, fine-tuning strategies, MLOps, LLMops, CI/CD, infrastructure-as-code
Preferred skills
Databricks Certified Data Engineer Professional, LangChain, DSPy, HuggingFace, MLflow
Technologies
Databricks, Apache Spark, Python, Scala, LangChain, DSPy, HuggingFace, MLflow
Responsibilities
Architect and build data pipelines and GenAI applications; Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks; Tune complex Spark jobs and LLM inference patterns; Act as a long-term technical partner for clients
Seniority
Senior, hands-on IC