Sr. Software Development Engineer - Gen AI at Esri

Redlands, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

197600.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, AI Systems, Software Development, Object-Oriented Principles, Software Architecture, API Design, Data Engineering, Agile Development, REST Services, Cloud Deployment, Geospatial Data, ArcGIS, CI/CD Pipelines, AI Concepts, Model Evaluation

Industry

Software Development

Description

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 organizations. In 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 Requirements 5+ 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-DR5 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 salary range is $118,976—$197,600 USD The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Responsibilities

Develop Python-based machine learning components to enhance spatial data quality. Collaborate with cross-functional teams to create robust software solutions for geospatial data management.