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

The Integration Engineer will design and maintain healthcare data integrations, collaborating with teams to optimize performance and improve reliability using Python and various standards.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

Lead the technical vision for complex systems, drive architectural strategies, write production-ready code, and align teams for public sector compliance.

Build and maintain full-stack features using Ruby on Rails back end and Angular front end. Own features end-to-end, diagnose full-stack issues, set technical direction, mentor engineers, and support cross-functional teams across multiple product domains and core platform services.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Design, build, and configure Amazon Connect contact flows and IVR experiences; develop AWS Lambda functions and Lex bots; configure Contact Lens and CTRs; integrate Connect with CRMs (Salesforce, ServiceNow) and third-party APIs; monitor via CloudWatch; support IaC deployments (CloudFormation/Terraform); document designs and support UAT with stakeholders.

Hands-on engineering leader who writes and reviews production code while managing a small team. Architects scalable systems, drives engineering and product strategy, improves developer workflows, supports pre-sales and integrations, defines KPIs, and partners cross-functionally to deliver high-quality SaaS products with evolving AI capabilities.

Build and own the GTM tech stack and integrations, create demo environments seeded with realistic data, embed AI agents into sales workflows, stand up revenue data infrastructure (pipeline, forecasting, attribution), and automate customer service flows. Partner closely with Sales, Marketing, Customer Success, and Product Engineering to measure adoption and impact.

Create video content, present at webinars and conferences, write sample code and documentation, review others' content, and respond to audience questions to educate and promote the product.

Design and build scalable, secure cloud-native backend systems in AWS. Implement event-driven architectures, async concurrent processing, data pipelines, serverless services, and REST APIs (Flask/FastAPI). Ensure performance, caching, testing, debugging, and cloud security (IAM, encryption, authentication).