Top Artificial Intelligence Jobs in Kansas City, MO

Manage a multi-state territory to grow laboratory genetic testing sales by expanding menu utilization, acquiring new customers, negotiating contracts, launching new assays, developing demand, delivering presentations, hosting trade shows, maintaining CRM data, and achieving sales targets while residing in the assigned territory.

Lead the Growth pod owning UX and front-end product engineering as a player-coach. Contribute code initially, then manage sprint planning, delivery tracking, roadmap trade-offs, and architecture decisions. Ship full-stack features (TypeScript front- and back-end), raise engineering craft, grow team capacity through coaching and delegation, and proactively surface risks tied to business goals.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

Drive revenue through the AWS partnership and direct enterprise sales. Collaborate with sales and AWS teams to build value propositions, execute co-sell strategies, leverage AWS Marketplace and funding, identify and qualify new opportunities, and manage and grow large enterprise accounts with tailored SaaS solutions.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

Build and ship production-grade agentic AI developer tools and a coding harness to modernize legacy systems. Design integrations across source control, CI/CD, security scanners, and cloud services. Partner with customers and product teams to iterate on AI-native workflows, ensure cybersecurity compliance, and scale agentic systems for defense missions.

Provide legal counsel to research and product teams on model development and deployment. Draft and review consumer-facing terms, privacy policies, and disclosures. Build privacy program and AI governance frameworks, translate international AI regulatory developments into actionable policies, and scale AI-native legal workflows across the company.

The Product Engineer role involves owning the complete product lifecycle, building features end-to-end across frontend and backend, driving product decisions, and creating scalable systems using modern AI tools. A focus on user experience and speed of delivery is essential.

The Implementation Director leads strategic healthcare technology implementations, ensuring successful project execution, client engagement, and process improvement. This role demands strong communication and problem-solving skills, along with experience in complex healthcare environments.

The Account Manager will manage existing SaaS customer relationships, drive product adoption, renewals, and identify expansion opportunities, ensuring customer satisfaction and revenue growth.