Product Engineer II - Generative AI, ArcGIS Enterprise

Overview

Join our team in building the next generation of AI capabilities in ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capabilities to millions of users worldwide. Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises and cloud environments. Our software is used to make maps, geographic information, and analyses available on any device, anywhere, at any time.

As a product engineer, you are integral to delivering high-quality software working with our cross-functional global team of product engineers and developers. You will be actively involved with designing, testing and delivering next generation AI capabilities in ArcGIS Enterprise using software development and quality assurance practices.

If you are passionate about software quality, geospatial technology, AI and can develop a deep understanding of our products and customer needs, this is the place to be.

Responsibilities

• Contribute to the development, deployment and maintenance of AI frameworks, services, applications and models 
• Collaborate with cross-functional teams to deliver AI based services and servers in ArcGIS Online, Enterprise and cloud platforms
• Triage, troubleshoot and address reported issues in the software
• Ensure software quality and participate in software security reviews
• Communicate project status regularly to the team

Requirements

• 2+ years of Python or Java programming experience
• Experience with SDLC, source control and agile practices for project management
• Experience with containers, Kubernetes, and cloud environments (AWS/Azure/GCP)
• Knowledge of Generative AI concepts and techniques
• Excellent problem-solving and analytical skills
• Effective time management, and organizational skills
• Good written and verbal communication skills
• Bachelor's degree in GIS, geography, engineering, computer science, or related fields

Recommended Qualifications

• Experience with ArcGIS Enterprise, ArcGIS Online or other geospatial technology
• Familiarity with performance monitoring (JMeter), testing tools and frameworks (Pytest, JUnit)
• Experience working with Linux and Windows operating systems

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