Top Artificial Intelligence Jobs in Kansas City, MO

Manages directed-content research projects for the Energy and Industrials sectors. Defines research scope, project angles, and expert-vetting questions; reviews expert profiles; monitors scheduling, compliance, rates, and project output; balances analyst workloads; and coaches analysts on sourcing quality. Partners with research leaders, client contributors, and contributor-relations teams to align expert insights with client needs, supports analyst hiring and onboarding, and maintains sector knowledge resources.

Leads engineering strategy, architecture, delivery, and organizational development for Agiloft’s Contract Intelligence portfolio. Oversees Astra Agents, Contract Intelligence Graph, shared cloud-native platforms, APIs, IAM, AI assistants, and integrations. Partners with Product, Design, Applied AI, and Operations to deliver secure, scalable, reliable customer-facing systems. Manages distributed engineering teams, develops leaders, establishes operational metrics, guides responsible AI practices, and remains hands-on in architecture, code reviews, and technical decisions.

Owns end-to-end features and services across Rails, Python machine-learning services, agent infrastructure, and data platforms. Improves the scalability, reliability, and cost efficiency of computer vision and LLM inference pipelines; builds model infrastructure, orchestration, and evaluation systems; contributes to architecture and code reviews; mentors teammates; ships production code; and participates in troubleshooting and incident response.

Resolve complex customer technical issues across Linux, networking, security, Kubernetes, cloud, storage, and ML environments. Diagnose problems, automate workflows with Python and Bash, support model deployment and inference pipelines, communicate resolutions, escalate unresolved issues, and maintain troubleshooting documentation. The role requires rotational shifts or on-call availability and remote work in the USA.

Manage property and casualty claims recovery and subrogation portfolios from investigation through settlement and collection. Evaluate liability, damages, coverage, collectability, and recovery potential; prepare demand packages; negotiate settlements; track legal deadlines; coordinate arbitration, litigation, counsel, experts, and vendors; maintain accurate claims documentation, forecasts, payments, and reconciliations.

Leads North American Product Success, defining its strategy, operating model, talent standards, customer onboarding, product health, usage analytics, and revenue motions. Owns retention, renewal, expansion, adoption, NPS, and forecasting outcomes while partnering with Sales, Customer Success, Product, and Product Marketing. Manages 5–7 leaders within an 80+ person organization and develops scalable, data-driven processes across a growing SaaS portfolio.

Defines and markets integrated technical solutions between VAST and technology alliance partners. Creates reference architectures, whitepapers, solution briefs, deployment guides, demonstrations, and enablement materials. Serves as a technical subject matter expert for sales, partners, and enterprise customers; supports RFPs, campaigns, training, events, and webinars. Collaborates with product, engineering, alliance, and partner teams to shape messaging, validate solutions, gather customer insights, and influence product direction.

Leads, coaches, and develops Account Executives selling GRC and security compliance services to early-stage businesses. Owns sales forecasting, pipeline management, scalable sales processes, recruiting, onboarding, training, partner selling, and go-to-market improvements. Builds trusted relationships with founders, technical buyers, and channel partners while driving quota attainment, revenue growth, and customer-focused consultative selling.

Design, build, deploy, and optimize production-grade machine learning and LLM systems, including RAG pipelines, agentic workflows, fine-tuning, embeddings, and chatbots. Own projects from architecture and prototyping through deployment, monitoring, and iteration. Collaborate directly with enterprise clients, mentor junior ML engineers, conduct code reviews, and help establish internal technical standards and best practices.

Thrilltap invites candidates who do not see a specific suitable role to submit their information for consideration. The company is building startups across multiple fields and welcomes talented individuals interested in joining its team. Candidates are encouraged to contact Thrilltap through the provided form, after which the company will follow up regarding potential opportunities.