Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead transformative AI initiatives and design cutting-edge AI systems.
- Company: Join a world-class AI Institute driving innovation in AI & Data.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: PhD or equivalent experience in AI/ML with strong leadership skills.
- Other info: Dynamic environment with opportunities to mentor and lead cross-functional teams.
The predicted salary is between 72000 - 108000 £ per year.
London - Flexible Working Options Available
Do you want to be at the heart of some of the biggest and most ambitious AI & Data programmes in the market? We’re hiring experienced Lead GenAI System Architects to join a world-class AI Institute – a centre of excellence driving cutting-edge Engineering, AI & Data innovation. You’ll work with senior leaders, global clients, and multidisciplinary teams on transformative Generative AI initiatives that redefine how organisations operate. This is a senior, hands-on role for someone who blends deep technical expertise with the ability to influence at board and C-suite level.
Responsibilities- Shape and deliver enterprise-scale AI & Generative AI strategies aligned to real business outcomes.
- Design, build, and deploy end-to-end AI pipelines – from data ingestion to secure, scalable production systems.
- Lead the development and operationalisation of advanced models, including LLMs, diffusion models, and other generative techniques.
- Architect production-grade RAG systems, evaluation frameworks, and responsible AI guardrails.
- Stay at the forefront of AI research, translating emerging capabilities into practical, high-impact solutions.
- Mentor and lead cross-functional AI teams, building reusable assets and delivery excellence.
- PhD or equivalent in Computer Science, ML, AI, or a related field (or outstanding equivalent experience).
- Extensive experience designing and deploying enterprise AI/ML solutions in production.
- Proven leadership of technical teams and senior stakeholders.
- Deep domain experience in regulated or data-rich industries (e.g. financial services, healthcare).
- Track record of thought leadership (publications, patents, open source, or industry impact).
- Expert Python and modern ML frameworks (PyTorch, TensorFlow).
- Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar).
- Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security.
- Hands-on experience with fine-tuning, deploying, and monitoring large-scale GenAI systems.
- Strong MLOps / LLMOps capability: CI/CD, monitoring, governance.
- Cloud expertise across AWS, Azure, and/or GCP (cloud-agnostic preferred).
- Ability to communicate complex AI concepts to non-technical audiences.
Lead Gen AI Engineer/Architect in London employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Gen AI Engineer/Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech scene. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects, especially those involving Generative AI. This is your chance to demonstrate your hands-on experience and technical excellence in a way that grabs attention.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex AI concepts clearly, so practice breaking down your work into digestible bits for non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Gen AI Engineer/Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Gen AI Engineer/Architect. Highlight your experience with AI and ML solutions, especially in regulated industries. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for this role. Don’t forget to mention any thought leadership or innovative projects you've been involved in.
Showcase Your Technical Skills: We’re looking for technical excellence, so be sure to highlight your expertise in Python, ML frameworks, and Generative AI tooling. Include specific examples of projects where you’ve designed and deployed AI systems to demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in Generative AI. Be ready to discuss your experience with LLMs, prompt engineering, and the tools like LangChain or TensorFlow that you've used. This shows you're not just familiar but passionate about the field.
✨Showcase Your Leadership Skills
Since this role involves leading teams and influencing senior stakeholders, prepare examples of how you've successfully led projects or mentored others. Highlight your ability to communicate complex concepts clearly, especially to non-technical audiences.
✨Prepare for Technical Questions
Expect deep technical questions about AI pipelines, MLOps, and cloud platforms. Brush up on your knowledge of CI/CD processes and be ready to explain how you've implemented these in past projects. Practical examples will make your answers stand out.
✨Align with Business Outcomes
Understand how your technical skills can drive real business results. Be prepared to discuss how you've shaped AI strategies that align with business goals in previous roles. This will demonstrate your ability to think beyond just the tech and focus on impact.
