AI Architect

Lawrence Harvey
London
1 year ago
Applications closed

Related Jobs

View all jobs

GenAI Solutions Architect: LLMs, MLOps & Product Impact

Senior AI Engineer: GenAI, MLOps & Cloud Architect

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

A global consultancy is looking for an AI Architect to join their growing team! This consultancy is a leader in tech transformations and innovation and they are known for their technical expertise in the market!


As the successful candidate, you will get to design innovative AI platformsand products for a variety of global clients, and develop solutions that enhance their products with Artificial Intelligence (AI). You will get to expand your network while working with cutting-edge tools in the insurance market including TensorFlow, LangChain, LlamaIndex, and architecting the development of ML, NLP, and GenAI solutions.


The role is hybrid, with 2/3 days a week in office, based in central London (max 1-hour commute)


Requirements:

  • Experience in designing, and architecting AI solutions/products, minimum of two projects completed
  • Insurance experience or long-term experience in Financial Services is required
  • Extensive experience with Python or R in your background
  • Stakeholder management and ability to communicate with non-technical stakeholders regarding AI concepts


Desirables:

  • Team leading and project management experience
  • Work with AI-related tools such as Tensorflow, PyTorch, LangChain, or LlamaIndex


Looking to grow your career further towards AI development and work with cutting-edge stack for global clients?


Apply now below!


*Please note that your CV needs to have two examples of AI projects where you have led the architecture and design*

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.