Sr. 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 define the technical go-to-market strategy and drive AI product adoption in Asia Pacific and Japan. You will work directly with customers, present and demo the AI/ML product suite, advise senior executives, support field engineering teams, and partner with product managers. You will also act as an external thought leader through conferences, webinars and blog posts.
Requirements
- 6+ years in Data Science, Machine Learning and 2+ years in production Gen AI
- Hands-on experience building solutions in AWS, Azure or GCP
- Trusted advisor to technical executives
- Ability to co-plan large territories with Account Executives
- Expertise in traditional ML and large-scale production systems
- Deep understanding of LLM application architectures, agent frameworks, eval methodology and foundation model markets
- Proven pre-sales experience in competitive situations
- Ability to define and execute strategic programs cross-functionally
- High impact communication
Responsibilities
- Lead the vision and strategy for AI product adoption in Asia Pacific and Japan
- Develop materials for the GTM team to communicate the value proposition
- Support field teams in key strategic pursuits
- Work with SMEs to scale impact in local regions
- Act as thought leader with customers at executive level
- Present externally at conferences, events and webinars and publish content
- Work with FDE teams and partners to establish best practices
- Represent the field to Product Management, Product Marketing and Engineering