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.
Key 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
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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Benefits & Perks
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.