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- Tasks: Lead transformative AI initiatives and design end-to-end AI pipelines.
- Company: Join a world-class AI Institute driving innovation in AI and Data.
- Benefits: Competitive salary, bonus, flexible working options, and comprehensive benefits.
- Why this job: Be at the forefront of AI research and make a real impact.
- Qualifications: PhD or equivalent experience in AI/ML, with leadership skills.
- Other info: Dynamic role with opportunities for mentorship and career growth.
The predicted salary is between 80000 - 90000 £ per year.
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 include:
- 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.
Background & Experience:
- 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.
AI Engineer/Architect in Glasgow employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer/Architect in Glasgow
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or industry conferences. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI. Share it on platforms like GitHub or your personal website to catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you’ll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer/Architect in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer/Architect role. Highlight your experience with Generative AI, Python, and any leadership roles you've had. We want to see how your skills align with what we're looking for!
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 any relevant projects or achievements!
Showcase Your Technical Skills: We love seeing hands-on experience! Include specific examples of AI/ML solutions you've designed and deployed. Mention any tools or frameworks you've used, especially those related to Generative AI, to show us your technical chops.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our awesome team!
How to prepare for a job interview at MBN Solutions
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around Generative AI and the tools mentioned in the job description. Be ready to discuss your experience with Python, ML frameworks, and any relevant projects you've worked on. This is your chance to showcase your expertise!
✨Showcase 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. Think about times when you had to communicate complex ideas to non-technical audiences and how you made those concepts accessible.
✨Align with Business Outcomes
Understand how your technical skills can translate into real business value. 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 show your strategic mindset.
✨Stay Current with AI Trends
Familiarise yourself with the latest trends and research in AI, especially around LLMs and generative techniques. Being able to discuss recent advancements or your thoughts on future developments will show your passion for the field and your commitment to staying at the forefront of AI innovation.
