Top Artificial Intelligence Jobs in Des Moines, IA

The Lead Process Engineer optimizes operating processes for the AXIS platform in the BFSI sector, engaging with various teams to ensure scalable and compliant workflows. Responsibilities include end-to-end documentation, automation-first process engineering, and enhancing client implementations while integrating risk and compliance controls.

Seeking a Full Stack Java Developer with 6+ years of Java, HTML, CSS, JavaScript, J2EE, Spring experience in a SCRUM/XP Agile environment.

AI/ML Data Contributors will engage in data labeling, content evaluation, and user testing to enhance machine learning models. Responsibilities include task completion, feedback provision, and adherence to project guidelines.

Develop and optimize T-SQL code and database solutions on SQL Server (2008-2016). Design indexes, tune queries, build stored procedures, views and functions, and implement scalable, secure database systems. Support ETL/reporting (SSIS/SSRS preferred), assist with DBA tasks (replication, backup/restore, clustering, log shipping), and communicate technical details to stakeholders.

The Project Manager will oversee multiple IT projects related to a federal program, focusing on business aspects, governance, and resource management, ensuring projects stay on schedule and within budget.

Leads and builds the company’s CRO function across onsite optimization and paid-media landing pages. The role combines hands-on experimentation, funnel and offer strategy, client communication, analytics, process development, revenue growth, and eventual team building. The director will work with paid media, creative, GTM, and leadership while creating scalable testing roadmaps, workflows, and playbooks for ecommerce clients.

Leads day-to-day strategy and client relationships across multiple accounts, developing performance reports, presentations, media plans, test-and-learn roadmaps, and growth recommendations. Coordinates cross-functional teams, manages deliverables and budgets, communicates performance insights, and identifies opportunities to improve account workflows. The role requires broad knowledge of paid search, social, and programmatic channels, strong project management, and the ability to develop trusted client partnerships while progressing toward full-funnel strategic leadership.

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.

Research and forecast memory process-technology roadmaps (DRAM, NAND, HBM), evaluate manufacturing integration and economics, map technology transitions to equipment demand, benchmark vendor execution, translate technical disclosures into actionable research, and contribute to industry models and client-facing publications.

Lead forward-looking research on robot learning, hardware, supply chains, and commercialization. Produce reports, forecasts, and briefings; track mobile manipulators, quadrupeds, cobots, and autonomous vehicles; assess AI, edge compute, and simulation impacts; collaborate with cross-sector analysts; support investors, OEMs, and policy stakeholders; and present findings to senior executives and clients.

Manage full-cycle recruiting, candidate pipelines, interview coordination, onboarding, employee lifecycle administration, HR recordkeeping, policy maintenance, and employee communications. Serve as first point of contact for HR questions, improve HR processes, and support a distributed workforce.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS products.

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.