Top Artificial Intelligence Jobs in Des Moines, IA

Build reference software codebases, support NGOs developing generative AI products, integrate diverse data sources, create experimentation tools, and deliver rapid cloud-based solutions. The role includes advising and mentoring partner organizations, conducting rigorous experiments, improving analytics infrastructure, organizing technical workshops, and visiting NGO sites to identify technical needs. Candidates need strong full-stack engineering, backend, data engineering, cloud, database, and generative AI experience.

Build and deploy production LLM agents for client engagements on the Gemini Enterprise Agent Platform. Responsibilities include agent development, tool and MCP integration, graph-based grounding, data pipelines, evaluation, observability, governance, infrastructure deployment, and catalog publishing. The role partners closely with client engineers, supports proofs of concept and demos, and transfers maintainable solutions to client teams.

Identify and qualify US market opportunities, build and maintain partner relationships, generate leads with publishers/distributors/advertisers, represent the company at events, create presentations and proposals, collaborate with internal teams, track partnership performance, support negotiations, and report pipeline and competitive analysis to leadership.

Lead UX and UI for a complex B2B web and mobile platform: create high-fidelity designs and prototypes, run user research and testing, maintain the design system and visual identity, collaborate with engineers and stakeholders, and recommend product and AI-driven improvements to enhance the auction experience.

Own the full lifecycle of enterprise cybersecurity accounts, from deployment planning and integrations through adoption, renewal, and expansion. Serve as the primary technical contact for security, engineering, and IT stakeholders. Guide vulnerability management workflows, cloud and scanning-tool integrations, remediation prioritization, and compliance reporting. Translate customer feedback into product improvements and create scalable onboarding playbooks.

Lead the architecture, development, deployment, and reliability of scalable APIs for Afresh’s flagship AI ordering product. Partner with product, account management, and engineering teams to deliver integrated solutions, support the existing iPad application, and shape future product direction. Drive projects from conception through launch, enforce testing and release best practices, mentor junior engineers, participate in Agile ceremonies, and provide constructive code reviews.

Own the endpoint protection platform strategy, roadmap, backlog, and AI activity governance across supported operating systems. Partner with Engineering and Architecture to define technical requirements, prioritize trade-offs, and ship usable, measurable capabilities. Guide deployment through MDM, RMM, and scripting while addressing software conflicts, VPNs, privacy, encryption, and unfamiliar networks. Represent the product to customers, partners, and prospects, and contribute to interviews.

Develop and operate SpiceDB and AuthZed’s open-source authorization ecosystem. Design, implement, test, deploy, and optimize distributed systems involving databases, cloud infrastructure, query planning, scalability, reliability, and performance. Participate in production operations and on-call rotations, troubleshoot complex issues, collaborate with users and contributors, mentor engineers, and contribute to technical documentation and industry discussions.

Own FAR.AI’s internal IT and security function, including accounts, devices, identity and access management, onboarding, offboarding, office networking, support, endpoint hardening, data protection, governance, and vendor risk. The role will remediate security gaps using threat modeling, automate self-service infrastructure, partner across teams, communicate and manage change, and hire and lead an IT Coordinator.

Investigate and resolve complex production issues across backend services, data workflows, and technical support systems. Analyze logs, query SQL and MongoDB databases, troubleshoot JSON/YAML configurations, support client integrations, and assist with bug fixes and data validation. Partner with Engineering, Client Operations, and User Support teams to identify root causes, escalate issues, improve workflows, and reduce recurring support problems.