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 architect production-level ML and AI workloads, including agents, ML pipelines and MLOps, serve as a practitioner for enterprise GenAI such as RAG and agentic systems, support Solution Architects in sales, and work with product and engineering to influence the roadmap. This is a hybrid role in Seoul.
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 technical concepts to technical and non-technical audiences
- Preferred: 2+ years customer-facing pre-sales or post-sales experience
- Meet technical training expectations within 6 months of hire
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Can travel up to 30%
- Native Korean required; business-level English preferred
- Nice to have: Databricks Certification
Responsibilities
- Architect production-level ML and AI workloads including agents, ML pipelines and MLOps
- Serve as a trusted practitioner for enterprise GenAI including RAG and agentic systems
- Build, scale and optimize customer AI workloads with MLOps
- Provide advanced technical support to Solution Architects during the technical sale
- Collaborate with product and engineering teams to represent the voice of the customer and influence the roadmap