Top Artificial Intelligence Jobs in Kansas City, MO

Own the company’s outbound pipeline creation across federal and commercial accounts. Responsibilities include target-account research, personalized outreach, qualification, follow-up, meeting booking, ICP and messaging experiments, signal tracking, CRM hygiene, reporting, and creation of sales collateral. The role is the first dedicated go-to-market hire and requires building outbound processes from scratch while partnering with business development and deployment teams.

Lead technical delivery for complex, security-cleared customer AI deployments from prototype through production adoption. Translate business goals into delivery plans, coordinate engineering, research, product, and customer teams, manage dependencies and risks, establish readiness criteria, track adoption and impact, and drive secure implementation in approved environments. The role also codifies reusable deployment patterns, supports change management, and communicates progress through approved channels.

Lead Prolific’s participant growth strategy across acquisition, activation, engagement, and retention. Build scalable acquisition channels, partnerships, and growth operations while managing a multidisciplinary team spanning marketing, recruitment, partnerships, and community. Use funnel metrics, cohort analysis, CAC, LTV, and marketplace data to drive decisions. Partner with Product, Engineering, Data Science, and Operations to improve participant journeys, automate processes, and deliver sustainable marketplace growth.

Conduct offensive security research focused on software supply chain threats, zero-day vulnerabilities, malicious code, third-party libraries, and CI/CD systems. Develop exploit techniques, collaborate on detection and mitigation capabilities, publish research through blogs and security conferences, and contribute open-source tools and methodologies. The role requires deep expertise in vulnerability research, reverse engineering, application security, exploit development, and software supply chain security.

Lead system safety engineering for defense-oriented autonomous ground vehicles. Perform hazard identification, risk analysis, FMEA, FTA, and related assessments; define safety architectures, requirements, concepts, and verification activities; support testing and technical reviews; apply safety standards such as MIL-STD-882E; lead safety working groups; mentor engineers; and collaborate across hardware, software, AI, robotics, and systems teams.

Lead the strategy, roadmap, and execution of an AI-driven B2B SaaS platform for government contracting. Translate RFP and customer needs into prioritized product enhancements, collaborate with AI research and cross-functional teams, apply agile methodologies using Jira, and drive successful product launches and adoption.

Lead a team building turbopuffer’s user-facing features, including dashboards, documentation, SDKs, observability, alerting, insights, and billing. Design and implement end-to-end developer experience improvements across web interfaces and the core database. Manage and grow a team, support hiring, help customers optimize workloads, and communicate complex concepts clearly. The role requires product-minded engineering leadership, strong web application experience, SaaS expertise, UX sensitivity, and technical people management.

Design and build Python APIs, agentic AI frameworks, LLM-powered clinical documentation systems, and EHR integrations. Evaluate and improve AI output quality for real-world clinical workflows, collaborate with physicians and customers to resolve documentation issues, and contribute across the platform’s full stack. The role requires strong Python, LLM, API, testing, and communication skills, with Google Cloud Platform and Firebase experience preferred.

Own positioning, messaging, go-to-market, launches, content, customer research, and sales enablement for model APIs, serverless compute, and dedicated capacity. Translate technical capabilities into customer value, collaborate with Product, Engineering, Growth, Ecosystem, and Sales, and optimize qualified demand, conversion, and product usage. The role requires technical B2B product marketing experience, strong writing, launch leadership, commercial judgment, and understanding of AI inference and GPU deployment models.

Design, build, and optimize scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and lakehouse architecture. Collaborate with analytics, product, and engineering teams while developing batch and streaming workflows, integrating data warehouse systems, and using cloud platforms and orchestration tools such as Azure, Airflow, ADF, or Prefect.