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Role and Responsibilities:

  • Drive engineering transformation by championing AI adoption across Engineering.
  • Accelerate technical execution to translate priorities into scalable solutions.
  • Architect scalable AI solutions emphasizing reusable services and engineering standards.

Qualifications:

  • Proven experience deploying AI or ML solutions in production.
  • Deep expertise in production LLM applications, retrieval, and orchestration.
  • Strong engineering capabilities across cloud, APIs, data platforms, and security.

Culture and Growth:

  • Collaborate with talented Engineering, Product, and business leaders in a growth-oriented environment.
  • Opportunity to shape AI architecture and advance engineering capabilities.
  • Measured by solutions delivered, engineering improvements driven, and teams empowered.

Schneider Geospatial

Schneider Geospatial is a PE-backed GovTech SaaS company that provides GIS-based solutions to over 1,000 local governments across 34 states, helping streamline parcel management and permitting. Recognized multiple years as a Great Employer to Work For and named GovTech 100 for four consecutive years, the company blends a purpose-driven mission with the agility of a high-growth software company.

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