Top Artificial Intelligence Software Engineer Jobs in Phoenix – Mesa – Scottsdale, AZ

The role involves developing on DataPower and Message Broker, with skills in Java and knowledge of Agile methodologies. Strong communication and teamwork are essential.

The role involves developing with DataPower, writing XSLT, schemas, WSDLs, and understanding security mechanisms, SOAP, REST services, XML, and MQ.

Develops software solutions using Guidewire technology. Requires 3-5 years of development experience, including at least 1 year of Guidewire experience. Must be EAD, Green Card, or US Citizen.

Lead engineering strategy across software, hardware, cybersecurity, and quality assurance. Oversee teams, design org structure, and ensure reliable AI-driven solutions.

As a Senior Software Engineer II, you'll build and deploy production-grade data products and machine learning systems, and define technical direction within a collaborative team focused on improving training for law enforcement through actionable insights from data analysis.

The Software Engineer will develop high-performance software for autonomous UGVs, collaborating with teams to ensure quality and scalability.

The Engineering Intern will assist with data analysis, software debugging, documentation updates, and daily operational tasks, supporting senior engineers and contributing to engineering workflows.

Develop and maintain web applications for Technical Operations, utilizing a full stack including .NET and Angular within an Agile environment.

As a Software Engineer, you'll design, develop, and test software solutions for semiconductor equipment, troubleshoot problems, and communicate project requirements.

As a Software Engineer, you will innovate AI-powered features for GitKraken, integrating LLM APIs to enhance developer experiences and collaborating across teams.

Lead the development in Java or Python, manage Big Data technologies like Hadoop and Spark, ensure software lifecycle management, and collaborate with stakeholders.

Responsible for developing client-side applications, driving frontend architecture, collaborating with cross-functional teams, and ensuring high-quality user experiences and test coverage.