AI Solutions & Data Engineer

Wight & Company

HybridPosted 29 июля 2026 г.

About the role

Wight & Company is seeking an AI Solutions & Data Engineer to turn artificial intelligence and organizational data into practical solutions for our teams, clients, and projects. This hybrid role will collaborate across architecture, engineering, construction, and business operations to identify AI opportunities, develop AI agents and automated workflows, connect information from multiple systems, and help employees confidently apply AI in their work. The ideal candidate combines technical ability with curiosity, creativity, and strong communication skills, and is comfortable building solutions, guiding conversations with teams, translating business challenges into technical approaches, and teaching others how to use new tools.

AI Solutions & Data Engineer

Wight & Company

HybridPosted 29 июля 2026 г.

About the role

Wight & Company is seeking an AI Solutions & Data Engineer to turn artificial intelligence and organizational data into practical solutions for our teams, clients, and projects. This hybrid role will collaborate across architecture, engineering, construction, and business operations to identify AI opportunities, develop AI agents and automated workflows, connect information from multiple systems, and help employees confidently apply AI in their work. The ideal candidate combines technical ability with curiosity, creativity, and strong communication skills, and is comfortable building solutions, guiding conversations with teams, translating business challenges into technical approaches, and teaching others how to use new tools.

Responsibilities include: - Develop AI Solutions and Agents by designing, building, testing, and maintaining AI agents; using large language models, retrieval-augmented generation, workflow automation, APIs; connecting AI tools with internal applications, document repositories, databases, and third-party platforms; creating prototypes; establishing methods for testing accuracy, reliability, security, and business value; moving prototypes into production; monitoring performance and adoption. - Build and Manage Data Solutions: Gather, clean, organize, and combine data from multiple business and project systems; develop and maintain data pipelines, integrations, structured datasets, and reusable data services; establish reliable connections between project, financial, operational, and knowledge-management platforms; improve accessibility while maint

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Responsibilities include: - Develop AI Solutions and Agents by designing, building, testing, and maintaining AI agents; using large language models, retrieval-augmented generation, workflow automation, APIs; connecting AI tools with internal applications, document repositories, databases, and third-party platforms; creating prototypes; establishing methods for testing accuracy, reliability, security, and business value; moving prototypes into production; monitoring performance and adoption. - Build and Manage Data Solutions: Gather, clean, organize, and combine data from multiple business and project systems; develop and maintain data pipelines, integrations, structured datasets, and reusable data services; establish reliable connections between project, financial, operational, and knowledge-management platforms; improve accessibility while maint