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- Tasks: Design and deliver enterprise-grade AI systems using Generative AI and LLMs.
- Company: Join a leading tech firm in London focused on real-world AI solutions.
- Benefits: Competitive salary, bonuses, and benefits with flexible working options.
- Other info: High visibility role with opportunities for innovation and career progression.
- Why this job: Make a real impact by transforming AI from concept to measurable business value.
- Qualifications: Strong experience in AI architecture and hands-on with LLMs and Python.
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 are 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 will work at the intersection of:
- AI strategy
- Solution architecture
- Hands-on delivery
What you will be doing:
- Architecture & Delivery: Design and scale Generative AI, RAG, and Agentic systems in production. Build enterprise AI platforms across AWS / Azure / GCP. Select LLMs, vector databases, and orchestration frameworks. Ensure solutions are secure, scalable, and production-ready.
- Client & Strategy: Lead AI discovery workshops and solution design sessions. Translate business challenges into AI-led solutions. Advise stakeholders on AI strategy, feasibility, and roadmap.
- Leadership: Guide and mentor AI / engineering teams. Set best practices across MLOps / LLMOps / AI governance. Contribute to reusable frameworks and accelerators.
What you will need (must-have):
- Experience as an AI Architect / ML Architect / GenAI Architect.
- Strong expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks.
- Hands-on with: LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph).
- Strong Python + ML frameworks (PyTorch / TensorFlow).
- Experience deploying on AWS, Azure, or GCP.
- Experience leading or influencing technical teams.
Nice to have:
- Experience in consulting / client-facing roles.
- Exposure to bids, RFPs, or pre-sales.
- Knowledge of AI observability & evaluation frameworks.
Why this role:
- Work on enterprise AI transformation (not PoCs).
- Own solutions from idea to architecture to production.
- High visibility with senior stakeholders.
- Access to cutting-edge AI tools & frameworks.
- Strong focus on innovation, learning & progression.
AI Architect in City of London employer: Charles Simon Associates Ltd
Contact Detail:
Charles Simon Associates Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect in City of London
✨Tip Number 1
Network like a pro! Attend AI meetups, conferences, and workshops to connect with industry experts. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Generative AI and LLMs. We recommend sharing your work on platforms like GitHub to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common AI architecture scenarios. We suggest doing mock interviews with friends or using online resources to get comfortable discussing your approach to real-world AI challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Architect role. Highlight your experience with Generative AI, LLMs, and any hands-on projects you've led. 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 your background makes you a perfect fit for our team. Don’t forget to mention specific projects or achievements that relate to the job.
Showcase Your Technical Skills: In your application, be sure to showcase your technical expertise, especially in Python and ML frameworks like PyTorch or TensorFlow. We love seeing real-world applications of your skills, so include any relevant projects or experiences.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of your application and ensures you’re considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at Charles Simon Associates Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI, LLMs, and Agentic AI frameworks. Be ready to discuss specific projects you've worked on and how you've applied these technologies in real-world scenarios. This will show that you're not just familiar with the concepts but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've translated business challenges into AI-led solutions. Think of examples where you've led discovery workshops or designed solutions that delivered measurable business value. This is a client-facing role, so demonstrating your ability to communicate complex ideas simply is key.
✨Familiarise Yourself with the Tech Stack
Get comfortable with the tools and frameworks mentioned in the job description, like AWS, Azure, GCP, and various LLMs. If you can, try to get some hands-on practice with them before the interview. Being able to discuss your experience with these platforms will set you apart from other candidates.
✨Prepare for Leadership Questions
Since this role involves guiding and mentoring teams, be ready to share your leadership experiences. Think about how you've influenced technical teams or set best practices in previous roles. Highlighting your ability to lead and inspire others will resonate well with the interviewers.