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

This role involves designing, developing, and optimizing factory automation database systems, collaborating with cross-functional teams to improve manufacturing data pipelines and overall factory performance.

Architect scalable frontend systems, optimize performance for data-heavy applications, mentor engineers, and build user-friendly data visualizations. Collaborate with teams to create elegant interfaces for complex data workflows.

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

The .Net Web Developer will analyze, design, develop, test, and implement web applications, focusing on security and data management.

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 Senior Software Engineer will develop high-performance software for autonomous vehicles, ensuring reliability and efficiency, while collaborating with teams to deliver scalable code.

The Data Visualization Engineer will develop user experiences focused on data visualization using technologies like TypeScript, React, and Remix, while collaborating on various projects within the team.

The Staff Software Engineer will design, build, and launch data products and capabilities, focusing on backend systems and clinical data processing, while ensuring high-quality and scalable solutions.

The Senior Software Engineer will design, build, and launch data products and pipelines while ensuring scalable access to clinical data and collaborating with teams to optimize systems.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

The Database Administrator will optimize PostgreSQL and MS SQL environments, manage databases, improve performance, and implement best practices for data integrity at the Department of Veterans Affairs.