Artificial Intelligence Architect

Lawrence Harvey
London
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Architect

Artificial Intelligence Architect

Artificial Intelligence Offerings Lead Architect

Artificial Intelligence Consultant

Artificial Intelligence Engineer

Artificial Intelligence Engineer

AI Architect – Big 4, Insurance


One of the world’s most renowned consultancies is searching for an AI Architect to play a defining role in shaping and transforming Artificial Intelligence and Machine Learning strategies for some of the leading insurance companies in the world.


The successful applicant will be responsible for leading AI and Machine Learning engagements which will include engaging with C-level to gather requirements, and design the latest solutions across Generative AI, LLM, NLP, and ML and lead the delivery, you’ll also get involved in pre-sales and create POC’s.


This is an excellent opportunity for a talented AI Architect to work for one of the world’s best consultancies and deliver the latest AI solutions for leading insurers.

The role is remote with 50% travel to the client site.


Requirements

  • Over five years designing and building solutions across data science, machine learning, and artificial intelligence.
  • Track record of LLM architecture including training and fine-tuning.
  • Practical experience with Generative AI.
  • Excellent coding skills, preferably with Python.
  • Prior consulting or insurance experience.
  • Excellent communication skills, both written and verbal, and ability to communicate to c-level.


This is one not to be missed, if interested, please apply via the link below.

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.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

🍪 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.