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Sr. Generative AI Software Developer

Job in Redlands, San Bernardino County, California, 92373, USA
Listing for: ESRI
Full Time position
Listed on 2026-10-19
Job specializations:
  • Software Development
    Software Engineer, AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview Esri’s Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design and develop the software used by a large community of GIS professionals to power the operations of their  this position, you will design and develop software used by organizations across diverse markets and industries to ensure quality and consistency in their geospatial data holdings.

You will be part of a talented cross-functional team of dynamic and passionate engineers who deliver capabilities that enable our customers to make a difference in communities around the world.

As part of the Professional Services division, you will work closely with product teams, domain experts, and technical specialists to create robust, production-ready software that transforms and advances geospatial data quality. If you are passionate about geospatial technologies, AI-driven data quality management, and building scalable, high-performance distributed solutions, this role offers the opportunity to work on cutting-edge technologies that shape how organizations build, validate, and maintain accurate geospatial assets.

Responsibilities Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality

Build software that follows industry-standard design patterns, development methodologies, and deployment models

Design, develop, test, and integrate AI/ML algorithms as part of product releases and evolve data quality capabilities for customers

Build scalable ML pipelines and data engineering processes to improve overall system architecture

Work collaboratively with product engineers, researchers, Professional Services product teams, and domain experts

Work effectively in an Agile Scrum team environment and iterative development cycles

Requirements5+ years of professional experience in a similar position supporting similar responsibilities with emphasis on Python, Machine learning or AI systems

Strong understanding of object-oriented principles, software architecture, and API design

Ability to analyze software/algorithms and identify improvements

Experience with software development using Python, ML frameworks and RAG systems

Bachelor's degree in computer science, mathematics, or STEM related field

Recommended Qualifications Familiarity and knowledge with C++ in large-scale or performance-critical software environments is beneficial

Experience analyzing large geospatial datasets and working with vector databases

Knowledge of the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise geodatabases

Experience in developing REST based services and cloud deployment patterns

Understanding of key AI concepts, model evaluation and agentic workflows

Experience with Agile development methodologies and CI/CD pipelines

Master's degree in computer science, mathematics, or STEM related field#LI-JJ2

Total Rewards Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy.

Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

A reasonable estimate of the base…
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