Sr. Specialist Solutions Architect
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be the trusted technical ML & AI expert for Databricks customers and the Field Engineering organization. You will guide customers in architecting production-grade ML & AI applications on Databricks, serve as a practitioner for enterprise GenAI solutions, and support Solution Architects during the technical sale. You will collaborate with product and engineering to represent the voice of the customer.
Requirements
- 5+ years of hands-on industry ML experience as ML Engineer or AI Engineer
- Graduate degree in a quantitative discipline or equivalent practical experience
- Experience communicating and teaching technical concepts
- Passion for collaboration, life-long learning, and driving business value through ML & AI
- Preferred: 2+ years customer-facing pre-sales or post-sales experience
- Meet technical training expectations within 3 months of hire
- Can travel up to 30% when needed
Responsibilities
- Architect production-level ML & AI workloads including agents, ML pipelines, training/inference optimization and MLOps
- Serve as trusted practitioner for enterprise GenAI solutions including RAG, agentic systems, AI evaluation and observability
- Build, scale and optimize customer AI workloads and apply MLOps
- Provide advanced technical support to Solution Architects during the technical sale
- Collaborate with product and engineering to influence the roadmap