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- Tasks: Design and deliver enterprise-grade AI systems with Generative AI and LLMs.
- Company: Leading tech firm in London focused on real-world AI solutions.
- Benefits: Competitive salary, bonuses, and flexible working arrangements.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Join a high-impact role and transform AI from concept to measurable business value.
- Qualifications: Experience in AI architecture and hands-on delivery skills required.
The predicted salary is between 80000 - 95000 £ per year.
Location: London (2 days onsite a week)
Salary: £80,000 - £95,000 + bonus + benefits
Build and scale real-world AI, not just proofs of concept. We’re hiring a Senior AI Architect / GenAI Architect to design and deliver enterprise-grade AI systems across Generative AI, LLMs, and Agentic workflows. This is a high-impact, client-facing role focused on taking AI from experimentation to production to measurable business value.
You’ll work at the intersection of:
- AI strategy
- Solution architecture
- Hands-on delivery
What you’ll be doing:
- Architecture & Delivery
- Design and scale Generative AI, RAG, and Agentic systems in production
- Build enterprise AI platforms across AWS / Azure / GCP
AI Architect in London employer: Charles Simon Associates
Contact Detail:
Charles Simon Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or industry events to meet potential employers and learn about opportunities that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Generative AI and LLMs. This can be a game-changer during interviews, as it gives you a chance to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Architect roles and practice your responses. We recommend focusing on how you've taken AI from experimentation to production, as that's what employers are keen to hear.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting 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 Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Architect. Highlight your experience with Generative AI, LLMs, and any hands-on delivery you've done. 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 explain why you're passionate about AI and how you can contribute to our mission at StudySmarter. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any AI projects, especially those that moved from concept to production, make sure to mention them. We love seeing real-world applications of your skills, so don't hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the attention you deserve. Plus, it's super easy!
How to prepare for a job interview at Charles Simon Associates
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Generative AI, LLMs, and Agentic workflows. Be ready to discuss real-world applications and how you've tackled similar challenges in the past. This shows you're not just a theorist but someone who can deliver tangible results.
✨Showcase Your Architecture Skills
Prepare to talk about your experience with architecture and delivery of AI systems. Have specific examples ready that highlight your ability to design scalable solutions across platforms like AWS, Azure, or GCP. This will demonstrate your hands-on expertise and strategic thinking.
✨Client-Facing Experience is Key
Since this role is client-facing, be prepared to share experiences where you've successfully communicated complex AI concepts to non-technical stakeholders. Highlight your ability to translate technical jargon into business value, as this is crucial for building trust with clients.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company's current AI projects, their vision for the future, or how they measure success in AI implementations. This shows your genuine interest and helps you assess if the company aligns with your career goals.