Artificial Intelligence Jobs in Overland Park, KS

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.

Serves as the liaison between the business unit and AI Center of Excellence. Manages AI use-case intake, prioritization, governance, compliance, vendor and platform evaluations, proof-of-concept pilots, and financial stewardship. Translates business needs and technical AI capabilities, maintains model inventories, supports responsible AI and risk assessments, and drives adoption through enablement, training, change management, and AI literacy initiatives.

Designs, builds, tests, and supports NICE Cognigy virtual agents for digital chat and omnichannel self-service. Develops conversation flows, intents, entities, NLU models, integrations, and live-agent handoffs. Monitors bot analytics and interaction data, troubleshoots production issues, maintains documentation, and ensures security, privacy, accessibility, and compliance. Collaborates with business, IT, product, and experience design teams on discovery, releases, and continuous automation improvements.

Help nontechnical employees identify repetitive work where Claude can save time. Build reusable prompts, projects, templates, and automations; coach employees through adoption; track outcomes; share successful practices; and advise when AI is inappropriate. The role may later expand into business analysis, product planning, and project management.

Works with stakeholders to identify valuable business problems and direct AI-assisted development of internal applications, automations, agents, integrations, reporting, and data pipelines. Owns solutions through testing, documentation, deployment, onboarding, and support. Builds Claude capabilities using MCP servers, connectors, skills, and agent workflows. Provides employee enablement and coaching, follows AI governance standards, and measures adoption and business impact.

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.

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.

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.