Partner Solutions Architect enables consulting and system integrator partners on Databricks, leading technical workshops and advising on data, cloud, and AI platform adoption.
About this role
This AI Engineer role sits on a customer-facing Forward Deployed Engineering team within Field Engineering. The team delivers professional services engagements that help customers build and productionize new AI applications, while working with product, engineering, developer relations, and subject-matter teams to influence longer-term priorities.
The role develops GenAI solutions and owns production rollouts for consumer and internal applications. Work includes RAG, multi-agent systems, Text2SQL, fine-tuning, evaluation, optimization, and customer technical advising, using tools such as HuggingFace, LangChain, DSPy, pandas, scikit-learn, and PyTorch. Deployments may use AWS, Azure, or GCP, with Apache Spark and the Databricks Intelligence Platform named for large-scale data processing.
Applicants need hands-on experience building GenAI applications and production-grade machine-learning deployments, extensive industry data-science experience, and a graduate degree in a quantitative discipline or equivalent practical experience. The role also requires communicating technical concepts to both technical and non-technical audiences.
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