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

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

Lead Zapier's Enterprise engineering organization responsible for identity, access, audit, admin tooling, and AI/agent governance. Define strategy and technical roadmap, ensure reliability of Tier-1 services, partner with Product, Sales, and Customer Success, shape AI-native engineering practices, build and develop managers and ICs, and oversee cross-org initiatives and incident leadership.

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

As a backend engineer, you will enhance data collection systems to ensure reliability and scalability, working closely with engineering and mission teams.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Lead enterprise application engineering delivery and operations across front-office, back-office, and employee platforms. Ensure stability, scalability, security, and alignment to business outcomes while driving simplification, automation, AI-enabled practices, lifecycle management, governance, and stakeholder value realization. Build and develop a high-performing engineering organization.

Lead development and integration of Salesforce-centered GTM systems: build Apex/LWC solutions, design event-driven integrations, optimize data flows to Snowflake, manage CI/CD with Gearset/Git, write SQL for reporting and data quality, troubleshoot production, and mentor developers while advancing AI-enabled, composable CRM automation.

Lead one or more backend engineering teams responsible for core platform services, APIs, data stores, and distributed systems. Drive operating cadence, technical direction, scalability, reliability, and debt reduction. Partner with product and cross-functional stakeholders, participate in architectural decisions, hire and develop engineers, and ensure predictable delivery and high-quality solutions at scale.