Artificial Intelligence Jobs in Overland Park, KS

Leads AI, automation, analytics, and digital transformation initiatives for a Kansas health plan. Partners with executives, IT, regulators, vendors, and business teams to identify use cases, shape technology roadmaps, champion responsible AI, support Medicaid and Medicare operations, manage technology priorities, and ensure compliance with health plan data exchanges and state requirements.

Leads North American business technology partnerships for commercial sales and marketing functions. Translates business strategy into prioritized technology initiatives, oversees portfolio and demand planning, manages budgets and forecasts, and drives solution delivery, adoption, governance, and measurable business outcomes. Builds relationships across business and IT stakeholders, supports commercial platforms including CRM, eCommerce, marketing technology, analytics, and AI, and coordinates teams, vendors, and global partners in a matrixed environment.

Drives cybersecurity initiatives across Security Operations Center and Incident Response teams, tracking technical execution through completion. Identifies and mitigates risks, blockers, and dependencies; maintains the threat response roadmap; coordinates people, processes, and technologies; and communicates progress with IT and business stakeholders. The role supports security strategy, automation, incident escalation, detection engineering, and remediation efforts.

Leads SOC and incident response process improvement, automation, analytics, and responsible AI adoption. Designs and documents threat response workflows, builds SOAR and AI integrations, governs use cases, develops reporting, and trains teams. Partners cross-functionally to deliver cybersecurity initiatives, improve response speed, reduce manual effort, and strengthen threat response capabilities.

Designs, builds, and operates AI-enabled cloud platforms, production agents, MCP integrations, Kubernetes capabilities, FinOps tooling, and application migration accelerators. Develops application code, infrastructure as code, APIs, CI/CD pipelines, and operational tooling while partnering on security, responsible AI, architecture, and enterprise standards. Provides technical leadership through architecture strategy, reference implementations, code reviews, mentoring, production support, and continuous improvements to cloud adoption, reliability, cost, and developer experience.

Support development, implementation, and optimization of legal technology and AI solutions (Microsoft 365 Copilot, Copilot Studio, Power Platform, Claude). Translate business needs into requirements and workflows, run UAT and deployments, ensure responsible AI practices, train users, track adoption metrics, and recommend process improvements to scale legal service delivery.

Implements and evaluates machine learning components under senior guidance, supporting data preparation, feature engineering, NLP/NLU experiments, retrieval and LLM pipelines, and model evaluation. Contributes to prototype and production AI services using Python and ML frameworks. Learns deployment, containerization, API, monitoring, and model lifecycle practices while participating in code reviews, sprint planning, documentation, and collaborative software development.

Build and lead Virtus’s AI engineering and platform foundation. Responsibilities include owning the enterprise data platform relationship, designing APIs and integrations, enabling knowledge management and retrieval systems, developing internal applications and AI solutions, and establishing standards for deployment, security, monitoring, reliability, and governance. The role is hands-on, requiring production coding, cloud architecture, vendor oversight, and executive-level technical guidance.

Lead the enterprise cloud and application transformation strategy, focusing on App to Cloud modernization, driving microservices adoption, guiding development practices, and providing leadership across teams.

Lead the delivery of AI-enabled engineering solutions, ensuring quality and performance while leading teams and establishing standards for Netsmart's healthcare technology platform.

Lead EVERSANA’s AI Hub Center of Excellence for Patient Services Technology. Architect and productionize AI agents on Vertex AI, establish reusable RAG and orchestration patterns, govern HIPAA-compliant AI workflows, and integrate AI tools into software development. Lead distributed teams, drive AI adoption across engineering functions, manage delivery roadmaps, define velocity metrics, and communicate strategy and ROI to executive stakeholders.

The Principal Architect for Netsmart leads the architecture for platforms and products, promoting AI-driven innovation and collaborating across teams to deliver scalable solutions.

Design and implement end-to-end ML/NLP workflows (semantic search, classification, entity resolution, retrieval/RAG). Build production AI services, integrate with data/backend systems, support deployment/monitoring/versioning, evaluate performance, and contribute to architecture and mission-aligned solutions.

Architect and build agentic AI solutions and developer-facing tooling, lead AI enablement across engineering, embed with product teams to integrate agentic workflows, ensure evaluation and observability, and produce documentation and training to drive adoption.

The role involves defining AI solution strategy and roadmaps, engaging with clients, conducting market research, and collaborating with engineering teams. Key responsibilities include managing solution roadmaps, competitive analysis, and developing go-to-market plans.

Serve as a trusted AI security advisor to clients: design pragmatic AI-focused security solutions, drive sales pipeline, qualify and scope opportunities, lead demonstrations and evaluations, partner with delivery teams, evangelize AI security thought leadership, and maintain stakeholder relationships to deliver comprehensive AI security programs.

The Principal Architect will lead the architectural vision for Netsmart's platforms, drive cloud technology adoption, promote AI/ML integration, and support teams with technical guidance and mentorship.