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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 the tech industry.
- 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 on businesses.
- 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.
Overview
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.
Qualifications
- 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).
Technical Excellence
- 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 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
✨Network Like a Pro
Get out there and connect with people in the AI and tech space! Attend meetups, webinars, or industry conferences. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to Generative AI. Share your work on platforms like GitHub or LinkedIn to grab the attention of potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and ML frameworks. Practice explaining complex concepts in simple terms – it’s key to impressing those non-technical stakeholders!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us can give you an edge, as we’re always on the lookout for top talent to join our team!
We think you need these skills to ace Lead Gen AI Engineer/Architect
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 strategies, enterprise-scale solutions, and any leadership roles you've held. We want to see how your skills align with our ambitious projects!
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 our team. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: We’re looking for deep technical expertise, so make sure to list your proficiency in Python, ML frameworks, and Generative AI tooling. If you’ve got experience with LLMs or cloud platforms, shout about it! This is your moment to impress us with your tech chops.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get started on this exciting journey together!
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 MLOps. The interviewers will want to see that you can not only talk the talk but also walk the walk when it comes to technical expertise.
✨Showcase Your Leadership Skills
Since this role involves leading teams and influencing senior stakeholders, prepare examples of how you've successfully led projects or teams in the past. Highlight your ability to mentor others and drive results, especially in complex environments like financial services or healthcare.
✨Prepare for Scenario Questions
Expect to face scenario-based questions where you'll need to demonstrate your problem-solving skills. Think about how you would approach designing an end-to-end AI pipeline or operationalising a new model. Practise articulating your thought process clearly and confidently.
✨Communicate Clearly
You’ll need to explain complex AI concepts to non-technical audiences, so practice simplifying your language. Prepare to discuss how you've communicated technical ideas effectively in the past, and be ready to adapt your explanations based on your audience's level of understanding.
