AI Architect - OT Cybersecurity

Job Title               AI Architect - OT Cybersecurity

Location               Plano, Texas, United States

Essential Functions:

•             Identify high-value OT cybersecurity use cases where AI can reduce manual effort, improve response speed, strengthen decision support, and increase operational efficiency

•             Partner with stakeholders to understand real business and operational challenges in OT environments and translate them into practical AI solution opportunities

•             Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration, agentic workflows, and model APIs

•             Evaluate when to use generative AI, traditional machine learning, analytics, rules-based automation, or hybrid approaches based on problem, data, and risk profile

•             Define end-to-end solution architectures including data inputs, retrieval layers, integrations, orchestration, user interaction, monitoring, and governance

•             Create architecture diagrams, technical requirements, and implementation roadmaps to support pilot and production deployment

•             Design solutions that integrate with enterprise platforms, APIs, cloud services, knowledge repositories, operational data sources, and cybersecurity tooling

•             Apply AI to improve OT cybersecurity processes such as documentation review, knowledge retrieval, issue summarization, remediation support, workflow acceleration, reporting support, and operational decision support

Requirements

•             Bachelor''''s degree in Computer Science, Information Technology, Engineering, Cybersecurity, Data Science, or a related field, or equivalent experience

•             Experience designing technology solutions that solve business or operational problems in enterprise or industrial environments

•             Experience with AI, machine learning, automation, or enterprise AI solution architecture

•             Working knowledge of AI concepts, including large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, model APIs, and workflow orchestration

•             Experience translating business needs into technical requirements and scalable solution designs

•             Familiarity with cloud platforms, APIs, data integration, and enterprise architecture patterns

•             Strong communication, problem-solving, and cross-functional collaboration skills