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

Leads a 2–4 person engineering team while remaining hands-on in a TypeScript codebase. Owns delivery planning, performance management, career development, technical contributions, incident response, team health, quality, and compliance. Partners with Product, Design, and engineering teams to translate strategy into reliable software, manage risks and dependencies, remove blockers, and improve productivity through AI-enabled engineering practices.

Lead Apollo’s Rep Experience engineering team building prospecting, account management, task orchestration, dashboards, and AI-driven recommendations. Responsibilities include technical decision-making, architecture, planning, coding mentorship, hiring, people management, on-call sustainability, estimation, process improvement, and cross-functional collaboration with Product, Design, GTM, and engineering leadership.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.

Software Engineering Interns will build and ship high-impact software projects across product, infrastructure, customer experience, mobile, and security teams. Responsibilities include designing, developing, testing, and deploying features; collaborating with multidisciplinary teams; participating in agile development and prototyping; applying user-centered design; and learning through mentorship, technical talks, and feedback. The internship is virtual, full-time, and lasts 12 weeks during Summer 2027.

Lead two Payments engineering teams through platform modernization, including decoupling payment capabilities from business logic, improving observability, performance, reliability, and operational health. Manage engineering managers and individual contributors, guide technical direction with senior engineers, own third-party payment integrations, and partner with Product and Commercial on payment capabilities and priorities. Drive cross-team initiatives, develop talent, and balance product delivery with foundational architecture investments.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

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.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Design and implement complex, accessible front-end components and a reusable design system. Architect UI solutions, prototype interactions, mentor engineers, improve design-to-development workflows, and build performant, responsive interfaces and marketing pages for a legal AI platform.