AI​/Machine Learning Engineer

Overview

ArcGIS Pro is a powerful geographic information system (GIS) software used to analyze, visualize, and share spatial data, helping to solve real-world problems. This role contributes to improving the accessibility of these tools through AI assistant functionality
. You will leverage your expertise in AI and machine learning to enhance the world's leading GIS software.

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

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

• 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, and frameworks like Lang Chain and Semantic Kernel

• 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 Lang Chain
• Experience with machine learning frameworks like Tensor Flow, 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

• 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