Senior EMEA AI Solutions ArchitectNew

Databricks
Apply now

The opportunity

The Solutions Architect (AI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a…

What you'll do

  • Provide technical leadership to guide strategic customers to successful: implementations on big data projects, ranging from architectural design to data engineering to model deployment

  • Collaborate with GTM leadership and account teams to design and execute: high-impact engagement strategies and strategic sales plays across your territory, driving AI adoption

  • As a trusted advisor, serve as an expert Solutions Architect building: technical credibility with CAIOs, CDOs and CTOs to drive product adoption and vision.

  • Enable clients at scale through workshops, POC execution, and developing: customer-facing collateral that increases technical knowledge and demonstrates the value of the Databricks architecture for AI and agentic workflows.

  • Lead the design and implementation of high-profile, high-value agentic AI use: cases on Databricks, leveraging Databricks Agent Framework, AgentBricks, and other Databricks AI capabilities to accelerate production adoption and deliver measurable business outcomes.

  • Drive agentic AI quality and production readiness by implementing robust: evaluation and monitoring strategies using MLflow, LLM-as-a-judge, custom evaluation metrics, and tracing to continuously improve agent accuracy, reliability, and performance.

What they're looking for

  • Influence product roadmap by translating field-derived, data-driven insights: into strategic recommendations for Product and Engineering teams.
  • Handle the most complex technical challenges in this product line by acting: as the tier-3 escalation point for the field, ensuring customer success in mission-critical use-cases.
  • Establish and refine the sales qualification and POC intake process, ensuring: well-scoped engagements that maximize customer success and minimize friction for R&D.
  • + years in a customer-facing, pre-sales or consulting role influencing: technical executives, driving high-level ML/AI strategy and product adoption.