Artificial Intelligence Architect

Experis
City of London
1 day ago
Create job alert

About the Role

We are seeking an experienced AI Architect with deep expertise in Generative AI to lead the design and implementation of cutting-edge AI solutions. You will work closely with stakeholders to define architecture, ensure scalability, and integrate advanced AI models into enterprise environments.

Key Responsibilities

  • Design and implement Generative AI architectures for enterprise-scale applications.
  • Collaborate with data scientists, engineers, and business teams to deliver robust AI solutions.
  • Define best practices for model deployment, security, and governance.
  • Evaluate emerging technologies and frameworks to optimize performance and cost.
  • Ensure compliance with ethical AI standards and data privacy regulations.

Required Skills & Experience

  • Proven experience as an AI Architect or similar senior AI role.
  • Strong knowledge of LLMs, transformer-based models, and prompt engineering.
  • Expertise in cloud platforms (Azure, AWS, or GCP) and MLOps pipelines.
  • Proficiency in Python, TensorFlow/PyTorch, and API integration.
  • Understanding of data governance, security, and compliance in AI systems.
  • Excellent communication and stakeholder management skills.

Nice to Have

  • Experience with multi-modal AI (text, image, audio).
  • Familiarity with vector databases and retrieval-augmented generation (RAG).
  • Background in enterprise architecture frameworks.

Why Join?

  • Work on innovative AI projects shaping the future of enterprise solutions.
  • Collaborate with a high-performing team in a dynamic environment.
  • Flexible hybrid working model in London.

Related Jobs

View all jobs

Artificial Intelligence Architect

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Artificial Intelligence (AI) Graduate

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.

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.

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.

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.