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

Design, develop, and maintain cloud-compliant SAP applications using ABAP Cloud and RAP. Build OData/APIs, CDS views, Fiori integrations, and clean-core S/4HANA extensions. Collaborate with functional teams, perform code reviews, optimize performance, and support testing, deployment, and production support.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

As a Senior Software Engineer, you'll design, develop, and maintain production-ready API solutions, collaborating with cross-functional teams while utilizing cloud technologies and agile methodologies.

As a Founding Software Engineer at Glacis, you'll lead engineering efforts, develop full-stack solutions, and drive AI integration while engaging directly with enterprise customers.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

As a Software Engineer New Grad, you'll develop features for mining operations using TypeScript and AI technologies, contributing to real-time data systems and computer vision applications.

The Technical Lead will oversee development efforts, mentor a team, make technical decisions, architect systems, and communicate with stakeholders to deliver high-performance solutions.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

As a Founding Software Engineer, you'll architect and evolve core backend systems and streaming data pipelines, optimize performance and storage, and define data models to enhance AI deployment safety and performance in real-time environments.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

As a Solutions Architect, you will design and optimize customer solutions for deploying LiteLLM, collaborating with customers and engineering teams to ensure successful implementations.