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

Develop and customize Guidewire applications supporting insurance policy, billing, and claims functions. Responsibilities include coding, configuration, integrations, testing, troubleshooting, requirements analysis, modernization support, client communication, workstream management, and mentoring junior developers. The role focuses on delivering software solutions across BillingCenter, ClaimCenter, and PolicyCenter while addressing complex technical and business challenges for insurance clients.

Develop and customize Guidewire applications for insurance clients across policy administration, claims, and billing. Design configurations, integrations, data flows, and technical solutions; test and troubleshoot application changes; support cloud modernization and analytics initiatives; translate client requirements into specifications; review junior team deliverables; mentor team members; and build client relationships while advising on implementation decisions.

Leads software engineering teams developing aerospace software. Responsibilities include managing delivery, defining project scope and plans, allocating resources, mitigating risks, ensuring compliance with aerospace quality standards, improving engineering processes, recruiting and developing talent, and fostering an inclusive team culture.

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.

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.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Leads Deepgram’s GTM Engineering function, owning CRM, CPQ, forecasting, billing, data, integrations, automation, and internal tooling. Translates commercial needs into scalable systems and AI-powered workflows, establishes engineering standards, connects usage and revenue data, and partners with Product, Engineering, Finance, and Data teams. This player-coach role designs, codes, tests, ships production systems, and develops a small team while prioritizing automation and operational leverage.

Leads a high-performing software engineering team responsible for customer activation, engagement, and expansion across a travel marketplace. Oversees end-to-end project delivery, promotes AI-driven engineering practices, improves agile processes, and partners with product, data, and design. Drives experimentation, scalability, security, technical excellence, and customer-focused product adoption while developing team talent and aligning engineering priorities with business goals.

Build Apollo’s AI-powered Builder Studio end to end, including chat-driven app creation, live previews, generated-app runtimes, workflows, integrations, delegated permissions, security, and reliability. The role requires strong full-stack development, production LLM experience, frontend expertise with complex UIs, backend and workflow design, and ownership of an ambiguous 0-to-1 product.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Leads approximately 35 engineers across data engineering, integration engineering, and integration support. Owns delivery predictability, manager development, operational reliability, SLA performance, data platform modernization, integration scalability, and organizational clarity. Partners with product, data science, commercial, and delivery teams while overseeing healthcare integrations with EHR systems, enterprise data infrastructure, incident management, and client-facing reliability commitments.