AI Solutions & Data Engineer
Wight & Company
| Company | Wight & Company |
| Category | Uncategorised |
| Location | Darien |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 28 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Are you looking for an opportunity to do challenging, creative work that makes a real impact? Would you like to be part of a company that respects individual contributions and thrives on collaboration? Do you love to win? Then consider joining Wight & Company. We’re a nationally recognized, award-winning architecture, engineering, and construction firm known for a dynamic company culture that fosters innovation and challenges the status quo, and we’re looking for a talented professional to join our team.
Wight & Company is seeking an AI Solutions & Data Engineer to help turn artificial intelligence and organizational data into practical solutions for our teams, clients, and projects. This hybrid role will work across architecture, engineering, construction, and business operations to identify valuable 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. This person should be comfortable building solutions directly, facilitating conversations with teams, translating business challenges into technical approaches, and teaching others how to use new tools effectively. The AI Solutions & Data Engineer will report to the Chief Innovation Officer and collaborate with technology, BIM, operations, and departmental leaders across the company.
ESSENTIAL RESPONSIBILITIES
Develop AI Solutions and Agents
Design, build, test, and maintain AI agents that support project delivery and business operations.
Develop solutions using large language models, retrieval-augmented generation, workflow automation, APIs, and related technologies.
Connect AI tools with internal applications, document repositories, databases, and third-party platforms.
Create prototypes and pilot programs that allow teams to evaluate new ideas quickly.
Establish methods for testing solution accuracy, reliability, security, and business value.
Help move successful prototypes into maintainable, production-ready solutions.
Monitor the performance and adoption of deployed AI solutions and improve them over time.
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.
Help establish reliable connections between project, financial, operational, and knowledge-management platforms.
Improve the accessibility and usefulness of organizational data while maintaining appropriate security and permissions.
Collaborate with system owners to improve data quality, consistency, documentation, and governance.
Support dashboards, reporting, predictive analytics, and AI applications that depend on reliable data.
Identify opportunities to reduce duplicate data entry and improve the flow of information across the organization.
Identify and Prioritize AI Opportunities
Meet with teams across the company to understand their work, challenges, and opportunities.
Facilitate workshops and brainstorming sessions focused on meaningful business problems rather than technology alone.
Translate business needs into clearly defined AI, automation, or data initiatives.
Evaluate potential solutions based on value, feasibility, risk, scalability, and alignment with company priorities.
Help departments develop practical roadmaps for adopting AI and improving their use of data.
Stay informed about emerging AI capabilities and evaluate where they may create value for the company or its clients.
Train and Support Teams
Develop and deliver practical AI training for employees with varying levels of technical experience.
Teach teams how to use approved AI tools effectively, securely, and responsibly.
Create guides, demonstrations, templates,
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