Top Artificial Intelligence Jobs in Des Moines, IA

Owns high-impact Core IT programs from problem definition through implementation across systems and business domains. Advises senior leadership on organizational design, systems architecture, process strategy, and operational excellence. Establishes requirements frameworks, coordinates stakeholders and resources, manages complex programs, improves scalable business processes, analyzes IT performance and financial metrics, supports compliance programs, and mentors analysts and engineers.

Own and grow a portfolio of enterprise accounts through retention, expansion, upselling, cross-selling, renewals, executive relationship management, and commercial negotiations. Develop account plans, identify growth opportunities, engage senior stakeholders, support adoption and value realization with Customer Success, resolve commercial issues, and advise customers on organizational change and platform adoption.

Develops and executes integration plans for space and ground systems supporting military remote sensing missions. The role evaluates and validates system performance, mitigates integration risks, manages configuration changes, and supports DoD acquisition, sustainment, logistics planning, and lifecycle documentation. Responsibilities span system-of-systems, system, segment, and element levels while coordinating with engineers, analysts, logisticians, and financial managers.

Leads the AMER Global Deal Desk, overseeing complex deal structuring, pricing, discounting, margin guidance, financial and business-risk analysis, approvals, and commercial compliance. Manages and develops deal desk personnel, partners with Sales, Legal, Finance, Delivery, and Operations, and drives scalable processes, AI-enabled workflows, training, enablement, and continuous improvement to support efficient, high-quality deal execution.

Runs scalable customer programs connecting product development and go-to-market teams. Responsibilities include recruiting and engaging customers for pre-PMF testing, coordinating cross-functional stakeholders, establishing operating infrastructure and readiness criteria, managing Customer Advisory Board activities, integrating customer testing into launch processes, and synthesizing feedback into product and GTM decisions.

Lead and coach a recruiting team while owning day-to-day talent acquisition execution across engineering, research, and go-to-market functions. Run full-cycle recruiting, support complex searches, build AI-assisted workflows and scalable recruiting systems, use funnel data to diagnose performance, develop recruiters, and improve hiring quality through structured interviewing and stakeholder coaching.

Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.

Own and improve vulnerability management across cloud, on-premises, network, and endpoint environments. Responsibilities include scanning, triage, risk-based prioritization, remediation coordination, SLA tracking, exception management, closure validation, asset reconciliation, reporting, incident support, on-call participation, and audit documentation. The role partners with Engineering, SRE, IT, and Infrastructure teams and uses security tooling and AI-assisted workflows to reduce exposure and recurring vulnerabilities.

Designs and validates enterprise solutions for strategic customers using HERE APIs, SDKs, platform services, and mapping technologies. Leads technical discovery, architecture design, demonstrations, workshops, evaluations, and proof-of-concept engagements. Partners with Sales, Product, Engineering, Services, and Customer Success teams to address customer requirements, risks, integrations, and implementation readiness. Communicates technical recommendations and tradeoffs to business and technical stakeholders while supporting account planning, competitive evaluations, expansion opportunities, and successful presales-to-implementation handoffs.

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.