Top Artificial Intelligence Jobs in Des Moines, IA

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.

Implement and manage marketing automation tools, design and execute email campaigns, analyze campaign ROI, support go-to-market product launches, collaborate cross-functionally, and explore automation opportunities to improve efficiency and performance.

Manage strategic enterprise accounts across a national territory, growing existing customers and acquiring new logos. Build consultative account strategies, serve as a trusted AI and customer-experience advisor, drive adoption, forecast accurately, achieve bookings targets, and coordinate cross-functional teams and channel partners. The role requires navigating complex enterprises, engaging executives and decision-makers, developing champions, and creating value-based solutions in emerging AI, ML, and NLP markets.

Own customer deployments for Cassi by mapping operating-company workflows, building integrations and ETL pipelines, developing custom automations, and ensuring reliable live operations. The role combines hands-on TypeScript and Node.js engineering with customer-facing implementation, debugging, data reconciliation, incident response, and product feedback. This founding engineer will define the forward-deployment function, determine which solutions should become core product capabilities, and potentially build the future team.

Own end-to-end enterprise implementations for multi-state home health and hospice organizations. Design phased rollouts, manage timelines and dependencies, lead clinician and staff training, coordinate executive stakeholders, monitor adoption, identify risks, and drive post-launch reinforcement. The role also develops change-management interventions, advocates for customer needs with Product and Engineering, and supports renewal and expansion outcomes. Travel to customer sites is required up to 20% of the time.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Consults with enterprise retail customers to understand business needs, design and demonstrate SaaS solutions, develop future-state roadmaps, scope statements of work, and support implementation handoffs. Partners with sales, product, engineering, project teams, and customer success to drive adoption, reduce implementation risk, and demonstrate measurable business value. Requires strong presentation, discovery, solution architecture, retail systems, and customer advisory skills.

Own the technical sales process for enterprise AI workflow automation, including discovery, process mapping, pilot design, demos, technical evaluations, security reviews, integrations, and early platform testing. Partner with Account Executives and customer operations and IT teams, connect solutions to measurable business outcomes, manage scope and feasibility, create reusable sales assets, and transition successful pilots to Forward Deployed Engineering. The role requires hands-on AI knowledge, systems thinking, commercial judgment, and occasional travel.

Build and refine front-end experiences for web and mobile: onboarding, checkout, gallery features, design system and enterprise dashboard. Collaborate closely with designers and PMs, ship fast, maintain aesthetic quality, and iterate with user feedback using React, Next.js and TypeScript.

Lead development of Runware’s AI platform, including scalable backend APIs, SDKs, developer tools, and inference orchestration systems. Design high-performance distributed architectures, optimize image and video model integrations, improve reliability and observability, shape technical direction, and mentor engineers. Collaborate across platform, infrastructure, and product teams to deliver robust developer experiences and maintainable systems.