AI Adoption and Knowledge Coordinator
Listed on 2026-07-20
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IT/Tech
Technical Writer, Information & Knowledge Management
Overview
NBBJ is an award-winning design firm recognized as TIME
100 Most Influential Company, Fast Company Most Innovative Architecture Firm, and a two-time 2025 AIA National Honor Award recipient. These recognitions reflect our purpose-driven approach that creates healthy buildings, strong communities and a resilient environment. Join us to make an impact today.
The AI Adoption & Knowledge Coordinator is an early-career role on the Data & AI team, serving as the firm s go-to resource for staff questions about AI tools, workflows, and best practices. They work directly with staff who have day-to-day questions and coordinate the network of AI Champions in studios who are helping their colleagues build fluency and adopt new tools.
The role maintains the knowledge base that documents how AI is being used firm-wide and keeps training content and resources current to support both. As a member of the Data & AI team, this role provides the connective layer that keeps adoption moving across the firm, enabling the rest of the team to stay focused on strategy, use case development, and innovation.
The AI Adoption & Knowledge Coordinator will be part of NBBJ’s Studio N, a firmwide studio of thought leaders and experts, brought together as an interdisciplinary team to support innovative and sustainable design. Based in the US, this firmwide role will work closely with project teams in 12 global offices in the US, UK, and China. The preferred candidate will be based in our Seattle office;
however, candidates will be considered in any of our NBBJ locations in the USA (Boston, Columbus, Los Angeles, New York, Portland, San Francisco or Seattle).
As NBBJ integrates AI tools across the design practice and business operations, the pace of adoption depends as much on communication, training, and documentation as it does on the technology itself. Staff need a reliable, approachable resource when they have questions, and the knowledge being generated needs to be captured and kept current. Adoption at scale also requires a network of champions in studios who can model best practices and support their colleagues locally, and that network needs coordination, current materials, and a clear connection back to the Data & AI team.
Without someone holding both together, documentation goes stale, training is duplicated, and knowledge stays siloed in studios rather than being shared across the firm. This role creates the conditions for increased adoption as the initiative grows.
Key Responsibilities
- AI Support & Staff Enablement:
Serve as an accessible first point of contact for day-to-day staff questions about AI tools, workflows, and best practices across design and business functions, escalating to the AI Integration Lead or Data & AI Lead when needed - Coordinate the AI Champion network across studios and office locations, keeping champions connected, sharing resources and updates, and maintaining regular touchpoints to understand where questions and friction are emerging across the firm
- Support the onboarding of new staff to the firm’s AI toolkit, standards, and resources, and maintain onboarding materials
- Develop and maintain a structured internal library of how-to guides, explainers, FAQs, and use case documentation that reflects the full scope of the firm s Data & AI initiative.
- Keep documentation current and accurate as tools, workflows, and firm standards evolve.
- Manage and maintain external training platforms, curated resource libraries, and third-party learning tools the firm utilizes, ensuring content is organized, accessible, and up to date.
- Capture staff feedback across the firm to surface recurring questions, adoption gaps, and unmet needs back to the Data & AI team.
- Support and coordinate training sessions, including material preparation, scheduling, and follow-up documentation, and develop resources that equip champions to facilitate learning in their own studios.
- Develop supplementary training resources, reference cards, and self-service guides that allow staff to learn at their own…
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