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

As a Principal Software Engineer, you'll design and implement complex solutions in Dynamics 365, leading projects and ensuring high-quality applications while collaborating across teams.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

Develop reusable Python-based software infrastructure for post-silicon validation and characterization of Arm SoCs. Build automation, frameworks, APIs, and CI or regression infrastructure for workloads, hardware controls, instrumentation, test execution, and data collection. Collaborate with firmware, validation, systems, and infrastructure teams to debug complex hardware-software interactions and create reliable, scalable engineering workflows.

Design, develop, integrate, test, debug, verify, and release embedded real-time software for avionics display systems. Manage requirements, algorithms, architectures, and feature implementation while supporting certification, compliance, quality, and customer requirements. Coordinate cross-functional engineering activities, communicate risks and progress, improve development processes, and mentor early-career engineers.

Design and implement backend services, modernize legacy systems into microservices, ensure strong testing and production observability, and collaborate with Product and Engineering teams. The role requires independent project ownership, strong system design, AI-assisted development using tools such as Claude or Cursor, effective communication with nontechnical stakeholders, and adaptability in an ambiguous, fast-changing environment.

Design, build, deploy, and support scalable Java microservices on AWS. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Work with high-throughput data, messaging systems, distributed architectures, observability, and AI-assisted development tools. Participate in on-call support, mentor engineers, lead architectural initiatives, and deliver reliable SaaS platform features.

Develop low-level, high-performance instrumentation within CICS and z/OS using HLASM. Design production features for mission-critical mainframe environments, diagnose complex system behavior through dumps and traces, analyze performance bottlenecks, and collaborate with an experienced engineering team. The role requires deep z/OS and CICS internals expertise, systems programming knowledge, and proficiency with JCL, SDSF, and USS.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Own commercial navigation features end to end across mobile, backend, and web surfaces. Build reliable, customer-facing navigation experiences for commercial fleets despite poor connectivity, dynamic schedules, and changing routes. Define product priorities and success metrics, ship maintainable and tested code, improve observability, and collaborate with product, design, Maps, Telematics, and adjacent engineering teams. The role requires strong customer focus, technical depth, and the ability to make practical tradeoffs in ambiguous problem spaces.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.