Principal technologist building AI workflows, integrations, and software platforms for KioWare kiosk ecosystems. Supporting enterprise solutions, operational automation, architecture, and product modernization.
Responsibilities
Design and deploy AI-powered workflows, agentic systems, RAG solutions, operational automation platforms, and internal productivity tools
Develop and maintain software across the KioWare, KioCloud, BillPay Kiosk, and QueueKiosk ecosystems using modern engineering practices
Build integrations between applications, APIs, databases, cloud services, payment systems, and third-party platforms
Collaborate with leadership to identify and implement automation opportunities that improve efficiency, scalability, and customer outcomes
Serve as a senior technical resource during customer meetings, enterprise architecture discussions, partner evaluations, and proof-of-concept engagements
Develop technical demonstrations, ROI models, implementation frameworks, and migration strategies supporting revenue growth
Support deployment, fulfillment, onboarding, and support teams through diagnostics, automation, telemetry, and operational tooling
Assist with architecture reviews, technical debt reduction, quality initiatives, CI/CD improvements, and AI-augmented software delivery practices
Contribute to AI governance, training, runbooks, and organizational adoption programs
Partner with the Director of Research & Development to evaluate technical priorities, architectural direction, and product roadmap initiatives
Provide senior-level technical guidance to development teams and assist in resolving complex engineering and integration challenges
Contribute directly to coding, code reviews, system design, testing strategies, and platform modernization efforts
Other duties and areas of responsibility that may be assigned
Requirements
8+ years of progressive software engineering, systems architecture, or solution development experience
Strong experience with Python, SQL, REST APIs, system integrations, and enterprise application development
Working knowledge of AI technologies, LLMs, prompt engineering, RAG architectures, and orchestration frameworks
Experience with C#, .NET, Java, cloud-hosted applications, or related enterprise technologies
Demonstrated ability to translate business objectives into practical technical solutions and measurable ROI
Excellent communication skills with experience supporting executive, customer, and cross-functional stakeholders
Experience operating as a senior individual contributor within a software product development organization
Demonstrated ability to influence technical outcomes, mentor peers, and lead initiatives without formal supervisory authority
Preferred experience with SaaS platforms, kiosk or endpoint environments, Retool, Power Automate, LangChain, LangGraph, MCP-enabled tooling, sales engineering, solution consulting, and operational automation
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