Future Proofing Your Architecture Career with Design Technology

In this Architecture Social CPD, Stephen Drew visits Benoy's London headquarters to speak with Ami Nigam, Head of Design Technology at Benoy, about how BIM, computational design and AI are reshaping what architecture practices value, and the skills that keep architecture professionals useful as the profession changes. Running time is roughly 72 minutes.

Who this is for

Architecture students, Part 1 and Part 2 assistants, and early to mid career designers who want to understand design technology, and practitioners weighing up how BIM, computational design and AI fit into a long term career in practice.

Learning outcomes

1. You will be able to explain what a design technology role does inside an architecture practice.
2. You will be able to describe how BIM, scripting and computational design support delivery, not just visuals.
3. You will be able to judge where AI tools add value in practice and where human judgement still governs quality.
4. You will be able to prioritise which technical skills to develop without chasing every new tool.
5. You will be able to connect technical ability with the people skills that make it useful across a global studio.

From architect to design technology lead

Ami trained as an architect and now describes himself as a technology lead who understands architecture. His route ran from studying in India, to moving internationally, to discovering computational design, and eventually building a role that did not previously exist inside a major firm. The lesson for listeners is that career paths in architecture are widening, and technical curiosity can open routes that were not on the syllabus.

Scripting, process and fabrication

Much of architecture is process. Ami explains how scripting and parametric methods remove repetitive work, connect design intent to fabrication, and let teams test more options in less time. The value is in solving real delivery problems, not in the novelty of the tool.

BIM explained, and why it matters

BIM is presented as far more than 3D modelling: it is structured information that supports coordination, standards and better decisions across a project. Understanding data, infrastructure and standards is framed as a genuine career skill rather than a side interest.

Grasshopper, Rhino and design workflows

Ami walks through how tools such as Rhino and Grasshopper sit inside real design workflows, and how computational thinking helps teams move between concept, analysis and documentation without losing design quality.

AI, enterprise tools and internal knowledge

The conversation moves to enterprise AI: sandboxed tools, data and internal knowledge, and building software that serves a global studio. Ami is optimistic but disciplined, stressing business use cases over hype.

Quality, bad outputs and critical judgement

AI can produce generic or poor results when it is handed the driver's seat. Ami argues that critical judgement, taste and domain knowledge are what separate useful output from AI slop, which raises the value of experienced designers rather than lowering it.

What students should focus on

Rather than learning every tool, Ami advises building strong fundamentals, staying adaptable, and going deep on a few skills that compound. Technical work still needs people skills: communication, collaboration and the ability to bring teams along.

Key terms

• Design technology: the discipline of applying computational, BIM and software tools to architectural practice.
• BIM: Building Information Modelling, structured project information used for coordination and delivery.
• Computational design: using scripting and parametric logic, often via Rhino and Grasshopper, to generate and test design options.
• Enterprise AI: AI tools built and governed at organisation scale, using internal data and knowledge.

Reflective prompts for your CPD record

1. Which one design technology skill would most improve your day to day work in the next six months, and how will you build it?
2. Where in your current projects could BIM or computational methods remove repetitive work or reduce risk?
3. How will you use AI tools while keeping critical judgement and design quality in your own hands?

About the guest

Ami Nigam is Head of Design Technology at Benoy, a global studio of architects, masterplanners and interior designers. Trained as an architect and originally from Mumbai, he leads design technology across Benoy's international teams, spanning parametric design, BIM and enterprise AI.