Top Artificial Intelligence Jobs in Tucson, AZ

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

The salesperson will expand existing accounts, acquire new business, and establish strong relationships with clients, focusing on value selling and strategic growth.

Lead the engineering team for product delivery at Runpod, focusing on customer-facing features while managing roadmaps, team growth, quality, and cross-functional collaboration.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

Support day-to-day operations of the Setup Sessions program by managing databases, running workflows for onboarding and payouts, and streamlining processes using Notion AI.

The Physician Advisor will focus on managed care claims, medical billing accuracy, and payer-side processes, ensuring compliance and fraud detection while collaborating with data teams.

The National Pharmacy Business Director leads a team of Retail Pharmacy Account Managers to optimize business performance through strategic planning, coaching, and cross-functional collaboration. The role emphasizes relationship building with retail pharmacies, performance management, and compliance within the pharmaceutical industry.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

Build and maintain data onboarding pipelines and automation to extract, transform, validate, and import retailer data from legacy POS systems. Optimize performance, ensure data quality, and collaborate with onboarding, product, and operations teams to scale retailer onboarding.