Artificial Intelligence Jobs in Overland Park, KS

The Associate Solution Manager will manage the solution lifecycle, collaborate with teams, prioritize work, and leverage AI tools to meet client needs in DME/HME software 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.

Lead vision, strategy, and delivery of AI-driven solutions across mortgage and home equity origination. Define roadmaps, build business cases, select vendors, and ensure model governance, compliance, and integration. Partner with data science, engineering, operations, risk, and stakeholders to launch AI capabilities, measure outcomes, drive adoption, and optimize product performance.

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.

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

The Senior AI Integration Engineer develops and supports AI-driven workflows across systems, managing lifecycle, integrations, and stakeholder requirements.

Lead enterprise RPA architecture and platform modernization, design scalable API-first automation, define engineering standards and reusable frameworks, integrate AI-assisted engineering, mentor teams, and advise executives on automation strategy and governance to improve reliability and delivery.

Design, develop, and deploy scalable cloud-native applications on GCP; integrate AI tools to automate business processes; collaborate with Agile teams and stakeholders to define requirements; improve systems, processes, and automation; maintain secure cloud development practices and stay current with cloud and AI trends.