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

Design, build, and maintain infrastructure for multi-tenant SaaS platform focusing on reliability, security, and scalability, while enhancing incident response and system monitoring.

Lead and mentor a data engineering team to design and implement data architecture strategies using advanced technologies, while ensuring quality and performance for client solutions.

Lead the development of an ERP platform and dealer integrations, overseeing team deliverables, ensuring quality standards, and optimizing software solutions.

The Platform DevSecOps Engineer will design and operate KUBRA's Internal Developer Platform, focusing on security automation and cloud infrastructure using various technologies.

The Senior Software Engineer will enhance digital tools, improve operational efficiency, provide user support, and ensure system security and compliance through automation and integration.

Manage and develop the Data Engineering team to build scalable data systems and APIs. Set architectural vision, ensure data quality, and collaborate across teams to drive business impact.

As a Senior Software Engineer, you will develop backend services in Java for search functionalities, integrate AI technologies, and mentor team members.

As a Lead Infrastructure Engineer, you'll enhance database reliability, automate infrastructure, collaborate on initiatives, and participate in on-call duties.

The Senior Infrastructure Engineer will design and maintain complex infrastructures while applying software engineering and SRE principles, leveraging automation tools, and collaborating with distributed teams.

Lead technical projects to enhance frontend developer productivity at Samsara, mentor engineers, and define frontend architecture and best practices.

The role involves developing automation frameworks, enhancing test coverage, collaborating across teams, and ensuring high-quality firmware for IoT devices.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.