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

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Own and evolve LiveKit’s developer-facing website by building high-performance web experiences, reusable brand components, motion systems, and launch pages. Translate brand and design concepts into polished production code, maintain strong performance budgets, and collaborate closely with designers, marketers, and engineers. The role emphasizes front-end engineering, animation, interaction design, speed, and self-directed delivery.

Own the development of LiveKit’s marketing website and brand system. Build high-performance launch and product pages, reusable components, motion patterns, and tooling that translate brand designs into polished web experiences. Collaborate with designers, marketers, and design engineers while maintaining strict performance standards and Core Web Vitals. The role emphasizes front-end engineering, interaction design, animation, fast delivery, and solving complex technical problems.

Develop and enhance Android applications using Kotlin and Java, applying MVVM and MVC design patterns and asynchronous programming. Collaborate with engineers, designers, and product managers in an agile Scrum environment. Provide technical support and training, oversee project deliverables, mentor colleagues, and help clients align digital solutions with business goals. The role also involves adopting AI tools, communicating effectively, and contributing to rapid product development.

Develop kernel-centric reliability solutions for AI compute clusters and production services. Responsibilities include debugging failures, building diagnostic tools, supporting incident response, performing root-cause analysis, improving kernel and software reliability, and collaborating with systems, hardware, ASIC, and architecture teams on reliability-focused designs.

Leads US application engineering across public and private sector engagements, building and scaling high-performing technical teams. Oversees end-to-end delivery of AI and software programs on the Symmetri Platform, ensuring quality, profitability, reusable components, and client value. Partners with Product to shape roadmaps, supports GTM activities and business development, develops senior client relationships, and drives innovation, technical excellence, talent development, and scalable delivery practices.

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.

Lead a new engineering team developing a scalable, multi-channel content management system. Set platform architecture and technical direction, guide front-end and back-end implementation, establish engineering and operational practices, and coach engineers. Partner with product, design, marketing, and business stakeholders on workflows, governance, roadmap, and delivery. Contribute to technical problem-solving and design decisions while balancing near-term publishing needs with long-term platform investments.

Design and build scalable distributed backend systems and core services in Golang. Develop reliable, high-performance systems using PostgreSQL and Redis across microservices, networking layers, and cloud platforms. Prototype and productionize platform capabilities, collaborate on strategic technical initiatives, and influence engineering standards. The role focuses on AI infrastructure, distributed database provisioning, workflow orchestration, internal tooling, and developer experience.