Top Artificial Intelligence Jobs in Des Moines, IA

Leads pricing strategy and profitability consulting engagements, analyzing pricing models, customer value, market trends, and business performance. Directs teams, manages stakeholders, budgets, and resources, and coaches consultants. Applies predictive analytics, machine learning, statistical modeling, and scenario analysis to develop actionable recommendations, improve client profitability, optimize customer value, and support strategic transformations.

Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property & Casualty coverage, and converts prospects into policyholders. The role includes paid licensing and training, commission opportunities, customer communication, sales closing, and remote work requiring a dedicated workspace and reliable wired internet. Employees must work four weekdays and one weekend day on designated shifts.

Partners with Sales on enterprise cybersecurity opportunities by leading technical discovery, solution design, demonstrations, proof-of-value engagements, and customer validation. Advises security, identity, infrastructure, IT, risk, and executive stakeholders; explains integrations with network environments; creates technical documentation; delivers training; and supports events. The role requires strong cybersecurity, IAM, enterprise networking, presentation, and complex sales-cycle expertise, with travel typically ranging from 25% to 50%.

Supports insurance agents, clients, and field management through the life insurance new business process. Provides customer service, coordinates underwriting requirements, processes applications and policy changes, assists with billing and accounting entries, answers calls, and supports office operations. Requires strong communication, multitasking, administrative, computer, and Microsoft Office skills. The role includes on-the-job insurance training and requires FINRA-related pre-hire fingerprinting.

Develop state estimation and navigation algorithms for autonomous systems operating in GPS-denied environments. Build production-grade C++ software for embedded Linux robotic platforms, create modeling and simulation tools, and implement comprehensive testing and validation. Collaborate on roadmap planning and agile execution while improving benchmarking and performance-analysis pipelines. The role requires professional C++ expertise, state estimation algorithm experience, sensor-fusion familiarity, and the ability to deploy reliable autonomy software.

Develop deep learning and 3D computer vision models for state estimation, visual navigation, localization, depth, correspondence, and pose estimation. Own data preparation, training, evaluation, benchmarking, and reproducible workflows. Integrate learned measurements into VIO and terrain-relative navigation systems, optimize models for onboard compute, and collaborate with deployment, software, systems, and flight-test teams to deliver production-ready Hivemind SDK components.

Provides consultative pre-sales support for insurance software solutions. Develops product demonstrations, coordinates client site visits, prepares proposals, responds to customer requirements, and collaborates with sales and supporting teams throughout the sales cycle. Uses insurance industry and technology expertise to align client goals with product capabilities and demonstrate business value. Requires up to 25% North American travel.

Own Rubrik’s customer story and CXO Visionaries programs from recruitment and discovery through content production, events, awards, and executive engagement. Develop technically grounded customer narratives, manage editorial workflows and external vendors, track story impact, and partner with sales, PR, product, engineering, alliances, and events teams. Build scalable processes and quality standards while translating cybersecurity and data resilience outcomes into compelling proof points for senior business and technology audiences.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Build and deploy production machine learning systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, lead-time, spend, and supplier-risk forecasting; anomaly detection; feature engineering and ETL; real-time inference; MLOps; data infrastructure improvements; governance; and model monitoring. The role defines the AI transformation roadmap, partners with executive and cross-functional stakeholders, mentors scientists, and drives adoption of AI-enabled operational workflows.

Leads enterprise workforce transformation as AI reshapes work. Owns productivity measurement, workforce planning, job architecture, role redesign, future-skills development, AI fluency, and responsible AI governance. Partners with the CPO, AI leaders, Legal, Compliance, IT, and functional executives to anticipate workforce needs, guide automation and upskilling decisions, build predictive workforce insights, and drive adoption across the organization.