Senior Specialist Solutions Architect (AI/ML)
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 ML and AI expert for customers and Field Engineering. You will design production ML and AI workloads, lead GenAI solutions such as RAG and agentic systems, support solution architects with MVPs and deep dives, collaborate with product teams, and create technical content.
Requirements
- 10+ years hands-on industry DS/ML experience
- Hands-on experience with distributed Spark-based systems
- Understanding of data engineering concepts
- Pre-sales or post-sales experience with external clients
- Ability to communicate complex technical concepts
- Graduate degree in a quantitative discipline or equivalent experience
- Meet technical training expectations within 3 months
- Can travel up to 30%
Responsibilities
- Design and implement production-level ML and AI workloads
- Serve as a practitioner for enterprise GenAI solutions including RAG and agentic systems
- Support Solution Architects during the technical sales cycle with MVPs and deep-dive sessions
- Collaborate with product and engineering teams to influence the AI roadmap
- Create tutorials and training materials, present at conferences and lead hackathons