Top Artificial Intelligence Jobs in Des Moines, IA

Own enterprise customer accounts from onboarding through renewal and expansion. Monitor customer health, usage, and outcomes; conduct QBRs; drive adoption and growth; support integrations, workflow design, launches, and training; maintain CRM and billing records; resolve issues cross-functionally; advocate for customers; and build relationships with technical and executive stakeholders.

Lead client-facing AI adoption and transformation engagements for mid-market companies. Design and facilitate practical sessions for executives and teams, demonstrate AI use cases, adapt to participant needs, manage client relationships between sessions, support adoption, advise on AI strategy and policy, evaluate evolving tools, and report field insights. Success is measured through behavior change, sustained AI usage, and business results.

Build full-stack AI-powered video creation and collaboration tools, including rich multimedia interfaces, backend APIs, server-side processes, LLM-powered features, and conversational experiences. Work with generative AI, computer vision, and machine learning models in production. Improve system performance, reliability, and code quality while rapidly prototyping and delivering product features in a collaborative, high-ownership environment.

Lead and coach a team of Technical Customer Support Specialists; own escalation playbooks, KPIs, and L2 technical investigations. Partner with Product and Engineering to resolve systemic issues, hire and onboard new reps, and ensure empathetic clinician-centered support.

Build and operate large-scale data pipelines, web-scraping systems, and data-collection tools for AI datasets. Maintain analytical databases, optimize queries, troubleshoot pipeline and data-quality issues, manage containerized workloads across Kubernetes and Linux infrastructure, and support CI/CD workflows. The role also involves documenting technical processes, researching improvements, and developing scalable APIs in a fully remote environment.

Owns the full customer lifecycle from discovery and technical workshops through demos, POCs, ROI modeling, integrations, implementation, go-live, and production handoff. Builds sandboxes, architecture diagrams, simulations, and reusable technical assets while partnering with Product, Engineering, and CSM. Requires strong customer-facing communication, scripting and API skills, enterprise architecture fluency, and comfort managing complex pilots and ambiguous processes.

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.

Design, develop, and maintain Python-based SOC automation workflows for alert triage, investigation, enrichment, incident handling, and response. Build reliable Temporal.io workflows and integrations with Microsoft Sentinel, Defender, REST APIs, databases, and threat intelligence systems. Develop KQL queries, translate SOC requirements into technical solutions, and improve automation scalability, observability, reliability, and analyst efficiency while collaborating with Cyber Defenders and cross-functional engineering teams.

Own the full B2B SaaS sales cycle, from prospecting through negotiation and close, while meeting quotas and acquiring automotive dealership customers. Present AI solutions and ROI cases to executives, build pipeline through cold outreach, expand accounts through cross-selling and upselling, and collaborate with Client Success and Solutions Engineering. The role requires technical aptitude, complex deal experience, strong negotiation skills, and comfort working in an ambiguous early-stage startup.

Manage large SAP programs or clusters of projects for global customers and partners. Responsibilities include program governance, delivery planning, scheduling, milestone and risk tracking, resource and financial reporting, approval gateways, dashboards, and escalation of issues. The role requires strong client engagement, SAP and ERP knowledge, project management office leadership, and coordination across geographically distributed teams.