Top Artificial Intelligence Jobs in Kansas City, MO

Build and operate infrastructure for evaluating coding agents and language models. Design end-to-end features spanning data models, APIs, background workers, and UI; run sandboxed trials; score and aggregate results; improve benchmark quality checks; integrate models and agents; and maintain performance, reliability, concurrency, migrations, tests, and code quality.

Own 8–10 technical searches end to end, partnering with engineering leaders to define roles, source senior infrastructure, backend, SDK, and AI talent, close candidates, and build recurring talent pipelines. The recruiter will improve recruiting systems, sourcing playbooks, interview processes, and candidate experience while serving as a strategic talent partner to engineering teams.

Own 8–10 full-cycle technical recruiting searches for engineering roles, partnering with hiring managers, sourcing passive candidates, building talent pipelines, closing senior and staff-level hires, and improving recruiting systems and candidate experience. The role requires strong technical recruiting expertise across infrastructure, backend, developer tools, open source, or AI, plus the ability to implement thoughtful AI-enabled recruiting practices.

Own the strategy, roadmap, and direction for Agiloft’s integrations platform, including the Integration Hub, APIs, MCP implementations, and orchestration layer. Lead cross-functional execution across engineering, design, sales, customer success, legal technology partners, and customers. Define integration standards, platform scalability, developer experience, AI orchestration capabilities, and measurable adoption and reliability outcomes.

Build and maintain scalable batch and streaming data pipelines, analytics warehouses, transformation layers, and dimensional data models. Perform SQL-based analysis, support dashboards and reporting, monitor data quality and delivery SLAs, troubleshoot incidents, and improve operational reliability. Collaborate with engineers, analysts, data scientists, and business stakeholders while contributing to documentation, governance, observability, and automation.

Manage uninsured and contractual recovery claims from review through resolution. Investigate documents and liability, contact responsible parties, negotiate settlements and payment plans, monitor payments, maintain accurate records, and refer complex files to management, collection, or legal partners. Collaborate with claims and rental operations teams while meeting recovery, service, quality, and productivity goals.

Leads Strala’s subrogation and recovery function, overseeing strategy, financial performance, investigations, negotiations, arbitration, litigation, collections, quality controls, and operational execution. Builds and develops teams, manages vendors and outside counsel, communicates with clients and carriers, and partners with Claims, Legal, Finance, Account Management, and Engineering. The role focuses on increasing recoveries, reducing cycle times and leakage, improving workflows and reporting, and implementing automation and analytics.

Own strategic customer relationships, adoption, outcomes, renewals, and expansion for enterprise accounts. Lead executive business reviews and escalations while diagnosing technical issues hands-on. Design ServiceTitan configurations, workflows, reporting, data solutions, and integrations; collaborate with Implementation, Support, Product, and Engineering to resolve issues. Use SQL, reporting, and AI tools to identify patterns, create scalable solutions, and develop reusable documentation and enablement assets.

Engineer enterprise identity governance across Okta, Lumos, and Veza. Design authentication, authorization, entitlement, access request, privileged access, and lifecycle governance; automate access reviews, compliance evidence, remediation, and non-human identity controls. Build identity analytics to detect excessive access, orphaned accounts, identity drift, and shadow identities. Partner with engineering, security, system owners, auditors, and vendors to implement least-privilege, time-bound access and audit-ready controls.

Own the technical vision and architecture for ServiceTitan’s iOS and Android mobile platform. Design scalable, reliable, secure, and high-performing systems; modernize monolithic codebases; improve observability, developer productivity, CI/CD, testing, and release processes. Mentor engineers, influence mobile strategy, define success metrics, support recruiting, and collaborate with cross-functional stakeholders. The role is approximately 60% development and requires expertise in native mobile development, performance engineering, modular architectures, and cloud-supported mobile backends.

Own the rollout and scale of AI agents and shared AI platform capabilities across Teamworks’ sports technology products. Drive beta-to-general-availability launches, AI-powered workflows, technical standards, integrations, evaluation datasets, regression testing, permissions, usage measurement, packaging, and customer adoption. Partner across product, engineering, and commercial teams to deliver reliable, secure AI experiences handling sensitive athlete data.

Design, implement, test, debug, and evaluate production-grade Rust backend systems for AI training projects. Responsibilities include API and persistence development, asynchronous and concurrent processing, performance optimization, reliability analysis, architecture review, reproducible test environments, containerized workflows, and technical documentation. The role requires identifying correctness, scalability, and failure-handling issues while delivering high-quality implementation artifacts and meeting weekly project deadlines.

Develop and validate machine learning models, training pipelines, inference systems, and numerical methods using Python. Debug algorithmic and system-level issues, optimize memory usage and performance, design systematic tests, and build reproducible workflows. Review challenging ML engineering tasks, use coding agents in development, document technical findings, and deliver high-quality work independently within deadlines.

Lead and scale a global Sales Engineering organization supporting complex enterprise cybersecurity sales. Own technical win rates, POC conversion, demos, discovery, evaluation processes, and SE performance metrics. Partner with sales leadership on pipeline, forecasting, territory planning, and deal strategy. Build enablement, tooling, playbooks, and career paths while serving as a senior technical advisor to CISOs, AI/ML leaders, and security architects. Provide customer feedback and competitive intelligence to product and engineering teams.