Top Artificial Intelligence Jobs in Des Moines, IA

Designs, develops, maintains, and supports integrations between SAP Business Suite and external systems. Builds interfaces using SAP PI/PO, APIs, REST, SOAP, OData, XML, JSON, IDoc, RFC, and BAPI; creates mappings, transformations, routing, and interface configurations. Troubleshoots failures and performance issues, monitors data exchange, supports testing and deployment, documents integration architecture, and collaborates with SAP functional, business, and external application teams.

Build and ship production software across the frontend and backend, working closely with founders, customers, and product teams. Develop AI-powered features and systems involving web scraping, unstructured data, PDF parsing, and cloud infrastructure. Translate real-world real estate and financing problems into technical solutions, make high-impact decisions, and own shipped code. The internship may convert to a full-time role.

Own Dovetail’s paid acquisition and email lifecycle growth engine. Manage channel strategy, budgets, campaigns, audiences, creative, landing pages, testing, attribution, and pipeline performance across Google Ads, LinkedIn Ads, retargeting, and email. Build AI-powered workflows, improve conversion journeys, connect spend to qualified pipeline and revenue, and collaborate cross-functionally with marketing, data, web, revenue operations, sales, and engineering teams.

Own outbound sales for Wise Things: prospect, demo, and close deals ($5k–$100k ACV). Self-source leads, manage a large pipeline, hit revenue quotas, build relationships with decision‑makers, and help scale the sales playbook in a fast-paced startup.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Own the technical relationship for strategic enterprise SaaS accounts after launch. Responsibilities include troubleshooting and escalating issues, managing SLA commitments, monitoring integrations, leading technical onboarding, conducting health reviews, supporting renewals and expansions, documenting solutions, and translating customer requirements into product feedback. The role requires strong SaaS technical support, enterprise communication, integration troubleshooting, and relationship-management skills, with familiarity in SSO, APIs, webhooks, logs, and CRM or support platforms.

Leads mid-market employer implementations from pre-sale planning through launch and handoff to account management. Builds project plans, coordinates enrollment readiness, manages eligibility data and integrations, trains employers and administrators, develops communication strategies, resolves issues, and collaborates across Sales, Product, Operations, Support, Compliance, and Account Management.

Build and launch user-facing, backend-leaning full-stack products for a clinical AI platform. Design reusable accessible frontend components, develop backend features, collaborate with product managers and subject matter experts, protect patient privacy through secure coding, improve engineering practices, and support applications in production.

Own a quota-carrying, full-cycle inside sales role selling healthcare revenue cycle management, BPO, and healthcare technology services to provider organizations. Responsibilities include account research, outbound campaigns, discovery, pipeline development, stakeholder identification, consultative selling, opportunity advancement, collaboration with senior sales leaders, Salesforce data management, and achievement of pipeline, opportunity, and revenue KPIs.