Product Engineer II - Generative AI & Assistants, ArcGIS Pro

ESRI; Redlands (CA); On-site; USD 79,664 - 133,120; Full time

Job summary

Esri is seeking a skilled AI/ML engineer to advance ArcGIS Pro AI Copilot capabilities. You will collaborate with a global team of engineers and product managers to design, build, test, and refine AI-powered Copilot features that enhance GIS workflows and improve user experience across government, conservation, imagery, and more.

The role emphasizes building training datasets, fine‑tuning models, and integrating NLP/vision AI within the ArcGIS ecosystem, while leveraging cloud and platform

Qualifications

• 2+ years of experience using Python and/or C# in application development.
• Knowledge of AI and Machine Learning concepts.
• Experience in building training datasets and fine‑tuning AI models (NLP or vision).
• Ability to work well in a highly collaborative environment.
• Knowledge of software development processes.
• Strong analytical problem‑solving abilities.
• Excellent written and verbal communication skills.
• Bachelor's degree in GIS, computer science, computer engineering, or a related field.

Responsibilities

• Identify primary use‑cases and workflows with users and industry experts.
• Contribute to the design and usability of ArcGIS Pro AI Copilot.
• Develop and implement test cases and validate bug fixes.
• Maintain, monitor, and grow the automated test suite.
• Troubleshoot production issues in current and past software versions.
• Collaborate with feature teams to infuse Copilot across ArcGIS Platform.
• Stay up to date with advances in AI and application development frameworks.
• Share workflows and projects in samples, tutorials, blogs, videos, and help documentation.

Skills

Python

C#

AI/ML concepts

Training datasets

Collaborative work

Software development processes

Analytical problem solving

Communication skills

Education

Bachelor's degree in GIS, computer science, computer engineering, or related field

Master's degree in GIS, computer science, computer engineering, or related field

Tools

Semantic Kernel

LangChain

Esri ArcGIS platform

AWS

Google Cloud

Azure

Job description

Overview

ArcGIS Pro is a powerful geographic information system (GIS) software that is used to analyze, visualize, and share spatial data, helping to solve real-world problems. We're on a mission to improve the accessibility of these tools through AI assistant functionality. As a team committed to innovation, you'll have a unique opportunity to bring your expertise in AI and machine learning to the world's leading GIS software.

Through curiosity and investigative research, you'll understand future capabilities and be able to fine‑tune AI models to ensure quality functionality. You'll design, build, and test AI Copilot experiences to assist our users in ways that have never been achieved before, impacting industries in government, public safety, conservation, imagery and more.

In this role, you'll collaborate with our cross‑functional global team of software engineers, product engineers, designers, product managers, and release engineers committed to delivering a host of cutting‑edge capabilities. Bring your passion for AI and natural language processing and apply today!

Responsibilities

• Work with users and industry experts to identify primary use‑cases and workflows
• Contribute to the design and usability of ArcGIS Pro AI Copilot
• Develop and implement test cases and validate bug fixes
• Contribute to the maintenance, monitoring, and growth of the automated test suite
• Troubleshoot production issues in current and past software versions
• Work with feature teams to infuse Copilot capabilities across the ArcGIS Platform
• Research and stay up to date with latest advances in AI and application development frameworks
• Share and distribute your workflows and projects in samples, tutorials, blog articles, videos, and help documentation

Requirements

• 2+ years of experience using an application development language (Python, C#)
• Knowledge of AI and Machine Learning concepts
• Experience in building training datasets and fine‑tuning/training AI models (NLP or vision)
• Ability to work well in a highly collaborative environment
• Knowledge of software development processes
• Strong analytical problem‑solving abilities
• Excellent written and verbal communication skills
• Bachelor's degree in GIS, computer science, computer engineering, or a related field

Recommended Qualifications

• Experience with natural language processing and generative models
• Experience in building AI applications using frameworks such as Semantic Kernel or LangChain
• Familiarity with Esri ArcGIS platform technologies
• Experience with cloud services like AWS, Google Cloud, or Azure
• Knowledge of UI/UX design techniques
• Master's degree in GIS, computer science, computer engineering, or a related field

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.

Base salary: $79,664 — $133,120 USD

If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!

Equal Opportunity Employer

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 [e-mail] 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.