Senior Solutions Engineer

Wanted: Solutions Engineer for a Data Intelligence company in Israel. This is a very rewarding full-time and Hybrid position.

​The chosen candidate will act as a pivotal technical architect, bridging the gap between cutting-edge AI research tools and large-scale enterprise execution. By optimizing a proprietary semantic fusion engine and deploying sophisticated agentic interfaces, this role offers the unique opportunity to shape how global organizations interact with their internal knowledge and drive the evolution of conversational AI at scale.

​Job Responsibilities:

-Serve as the primary technical advisor for strategic enterprise accounts, overseeing the end-to-end optimization of their data models and agentic AI capabilities.

-Triage and resolve complex technical hurdles while proactively monitoring performance metrics to ensure seamless platform integration and prevent architectural bottlenecks.

-Partner with internal Engineering and Product squads to translate field requirements into high-impact product features and long-term technical enhancements.

-Guide executive-level stakeholders through the architectural requirements of deploying advanced AI agents, ensuring measurable ROI and long-term business value.

​Job Requirements:

-7+ years of hands-on experience building and optimizing Cloud Data Warehouses such as Snowflake, BigQuery, or Databricks.

-Advanced proficiency in writing production-grade Python and performance-tuning complex SQL queries within relational and NoSQL environments.

-Proven track record of designing and scaling data models, semantic layers, and automated data workflows from the ground up.

-Deep technical understanding of AI-driven applications, prompt engineering, and the underlying architecture of agentic systems.

-Extensive experience deploying BI platforms (Looker, Sigma, Tableau) and managing root-cause analysis for enterprise-grade software; experience with MongoDB is a significant advantage.