Top Artificial Intelligence Jobs in Des Moines, IA

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

Manage multiple client relationships, ensure timely deliverables, communicate performance insights, and contribute to the Client Service team's growth.

The Director of Strategic Alliances leads iManage's technology partnerships, particularly with Microsoft, driving strategy, negotiations, and cross-functional alignment to enhance revenue and customer value.

The Customer Success Manager will drive AI-led transformation for B2B clients, guiding them through digital evolution and enhancing product adoption. Responsibilities include consulting on using AI for automation, strategic architecture for business solutions, and leveraging data for growth and organizational change.

The Pre-Sales Solution Engineer collaborates with sales teams to understand customer needs, demonstrate TrakSYS solutions, and ensure technical feasibility through PoCs and tailored implementations.

The Director, Sales will build relationships with healthcare executives, drive sales strategies, and lead the entire sales cycle to achieve targets.

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.