Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Artificial Intelligence Consultant - Architecture Firm [07/07/2025]...

Ignis Partners
City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Principal Consultant – Artificial Intelligence

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Job Description

AI Strategist / AI Implementation Lead (Architecture Firm)

You’ll be working in highly respected and successful Architecture firm in London, this role is for a senior-level professional who will drive the adoption and integration of AI tools and workflows across your practice both for architectural design and business operations. It's a strategic, hands-on position focused on real-world implementation and upskilling your team.

Key Responsibilities

  1. Strategy & Vision

  • Assess current workflows across teams (design, admin, management, etc.) to identify opportunities where AI can add real value.
  • Develop and lead a clear AI adoption roadmap aligned with practice's goals (efficiency, creativity, cost-savings, innovation).
  • Stay on top of emerging tools (Midjourney, Revit plugins, ChatGPT, test-fit AI tools, etc.) and identify those most relevant to your studio.

  1. Training & Upskilling

  • Design and deliver custom training sessions for architects, technologists, and support staff tailored by skill level and team function.
  • Create a culture of experimentation and innovation, guiding teams through safe and responsible AI use.

  1. Tool Selection & Implementation

  • Select and roll out AI tools for:
  • Concept generation (e.g. image-generation tools)
  • BIM & parametric design acceleration
  • Documentation and QA support
  • Internal knowledge management and admin automation
  • Pilot new tools on live or test projects; refine based on results.

  1. Integration & Support

  • Work with in house IT/tech team to integrate AI tools securely with existing systems (Revit, BIM360, Office Suite, etc.)
  • Monitor outcomes, track KPIs (e.g., time saved, quality improvement), and report progress to leadership.

    Ideal Background

  • Experience in Architecture or background in Architecture would be ideal. Someone who has worked in or with architectural practices and understands the nuances of design workflows.
  • Deep understanding of AI tools (ChatGPT, Midjourney, Runway, Revit AI plugins, etc.) and how they apply to the built environment.
  • Ability to lead change and communicate across teams, from directors to junior designers.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.