Imagery Product Engineer II- AI/Deep Learning

As modern software increasingly incorporates AI and deep learning capabilities, Esri's Imagery development team is looking for passionate engineers to help design, build, and test cutting-edge AI features in ArcGIS Enterprise and ArcGIS Online for Imagery, Remote Sensing, and Photogrammetry workflows. The evolution of our imagery software includes GeoAI models that draw insights from remote sensing data, AI assistants that boost user productivity and usability, and AI agents that enable workflow automation.

You will collaborate with software developers and product engineers to create market-leading AI features for users of ArcGIS Enterprise with Image Server and ArcGIS Online imagery capabilities. In this role, you will gather user requirements, design AI features spanning backend services to frontend user experience, create automated tests, and build demos and tutorials that help users apply modern geospatial AI models and LLMs to their imagery dissemination, visualization, and analytics workflows. This is an exciting opportunity to build new AI software solutions for the web and cloud.

• →Gather user and market requirements for AI and deep learning enhancements across imagery data management, visualization, and analytics workflows 
• →Design, develop, and automate quality and performance testing for AI-focused web applications in ArcGIS Enterprise and ArcGIS Online, such as Deep Learning Studio 
• →Help design, develop, and test enterprise and cloud DevOps services that support AI features for imagery 
• →Analyze daily test results and report quality status to the team 
• →Recommend and document best practices for enterprise and cloud deployment patterns that enable AI and deep learning use cases 
• →Become an expert in integrating ArcGIS AI features with modern cloud platforms, including Amazon AWS, Microsoft Azure, and Databricks

• 2+ years experience in test automation development skills in Java, JavaScript, C#, or Python 
• Knowledge of imagery formats and remote sensing data modalities from modern sensors such as Landsat or Sentinel-2 
• Intermediate understanding of workflows for training, validating GeoAI deep learning models
• Understanding of inferencing at scale with GeoAI deep learning models 
• Excellent writing and communication skills 
• Eagerness and ability to learn new skills and contribute to building quality commercial software 
• Bachelor's degree in computer science, geography, remote sensing, or a related field

• Experience in system integration or test engineering 
• Hands-on experience training and deploying GeoAI models for imagery or remote sensing data 
• Experience developing AI skills and agents for imagery or remote sensing workflows 
• Experience solving GIS, remote sensing, or photogrammetry data analysis problems 
• Experience researching or adopting foundation models such as Prithvi 
• Experience with one or more cloud platforms (AWS, Microsoft Azure, Google Cloud, and more)

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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.

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.