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
- Contribute to the design and implementation of an AI Copilot for ArcGIS Pro
- Design, develop, and implement AI models, prompts, algorithms and agents in C# or Python, particularly focusing on natural language generation and understanding using LLMs and embedding models
- Write scalable, robust, testable, efficient, and easily maintainable code in C#, Python, or C++
- Build software that follows the latest industry-standard design patterns, development methodologies, and deployment models
- Collaborate with cross-functional teams to understand user needs and devise possible solutions
- Translate software requirements into stable, working, high-performance software
- Stay up to date with the latest advancements in AI and machine learning technologies like LLMs, multimodal models, text/embedding models, frameworks like LangChain and Semantic Kernel
Requirements
- 5+ years of demonstrated experience in developing robust code and exceptional problem-solving skills using the C# programming language and the .NET platform
- Experience with large language model tools like Semantic Kernel or LangChain
- Experience with machine learning frameworks like TensorFlow, PyTorch, or similar
- Familiarity with AI and Machine Learning concepts
- Strong knowledge of data structures and algorithms
- Knowledge of REST APIs and HTTP-based web services
- Strong knowledge of GIT
- Excellent communication skills, with the ability to explain complex concepts to non-technical team members
- Demonstrated ability to self-direct, with an eagerness to learn and grow
- Bachelor’s degree in computer science, GIS, Mathematics, or related field
Recommended Qualifications
- Experience with natural language processing and generative models
- Good knowledge of Python
- Experience in C++
- Experience with cloud services like AWS, Google Cloud, or Azure
- Master’s degree in computer science, GIS, Mathematics, or related field
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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.
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 [email protected] 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.
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Skills Required
- 5+ years of demonstrated experience in developing robust code using C# and the .NET platform
- Experience with large language model tools like Semantic Kernel or LangChain
- Experience with machine learning frameworks like TensorFlow or PyTorch
- Knowledge of data structures and algorithms
- Knowledge of REST APIs and HTTP-based web services
- Strong knowledge of GIT
- Bachelor's degree in computer science, GIS, Mathematics, or related field
Esri Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Esri and has not been reviewed or approved by Esri.
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Healthcare Strength — Feedback suggests health coverage is a standout, with full company-paid medical, dental, and vision premiums frequently cited as uncommon and valuable. Comprehensive options, including mental health support and FSAs, reinforce confidence in core healthcare benefits.
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Affordable Benefits — Feedback suggests employer-paid premiums lower out-of-pocket costs, which many view as a meaningful offset to lower cash pay in some roles. This affordability underpins satisfaction with total compensation even when salaries are seen as moderate relative to tech hubs.
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Retirement Support — Feedback suggests 401(k) matching and profit sharing are valued components that strengthen long-term financial security. These programs contribute to a perception of stability and a well-rounded total rewards package.
Esri Insights
What We Do
As a leading location intelligence platform provider (Forrester Wave 2020), Esri empowers leaders with innovative tools to help create sustainable prosperity. Esri's customers drive digital transformation by embracing the power of location. We pioneer problem solving with GIS to help you see what others can’t. We build ArcGIS, the world’s most powerful mapping & spatial analytics software. ArcGIS software and apps combine mapping and data analytics to deliver location intelligence and meet digital transformation needs for organizations of all sizes.
