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- Tasks: Lead the design and delivery of cutting-edge AI solutions for enterprise environments.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Make a real impact on AI transformation initiatives and shape business strategies.
- Qualifications: Proven experience in Generative AI, strong Python skills, and team leadership.
- Other info: Dynamic role with high visibility and continuous exposure to modern AI technologies.
The predicted salary is between 80000 - 95000 £ per year.
Permanent
Location: London (onsite twice a week)
Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus
Shape the next generation of enterprise AI. We’re looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You’ll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact.
The Role: As an AI Architect, you’ll operate at the intersection of strategy, solution design, and delivery. You will:
- Lead discovery and design of AI-led solutions aligned to business outcomes
- Architect and scale GenAI, RAG, and Agentic AI systems in production
- Advise senior stakeholders on AI strategy, feasibility, and roadmap
- Act as a technical authority during bids, proposals, and client workshops
- Guide engineering teams through complex implementations
This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms.
Key Responsibilities:
Client & Stakeholder Engagement- Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions
- Act as a trusted advisor in workshops, discovery sessions, and solution design discussions
- Support RFI/RFP responses and client presentations with clear, credible technical direction
- Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP)
- Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows
- Select appropriate models, frameworks, orchestration tools, and evaluation approaches
- Ensure solutions are secure, scalable, observable, and production-ready
- Lead and mentor teams of AI and software engineers
- Drive best practices across MLOps / LLMOps, governance, and AI observability
- Contribute to reusable accelerators, reference architectures, and go-to-market offerings
What We’re Looking For:
Essential Experience & Skills:- Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation
- Strong understanding of:
- Prompt engineering
- RAG pipelines
- Model fine-tuning (supervised / unsupervised)
- MLOps / LLMOps and AI observability
- Strong stakeholder management and communication skills
- Comfortable translating complex AI concepts into clear business value
- Experience supporting proposals, bids, and client presentations
Why Apply?
- Work on meaningful, enterprise-scale AI transformation programmes
- Shape AI strategy and architecture, not just build proofs of concept
- High visibility, senior-level role with real influence
- Continuous exposure to modern AI tooling, frameworks, and delivery models
- Strong investment in learning, innovation, and professional development
AI Architect 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
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI architecture. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Architect role. Highlight your experience with Generative and Agentic AI, and don’t forget to mention any relevant projects or achievements that showcase your expertise.
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 the perfect fit for this role. Be sure to connect your past experiences to the responsibilities listed in the job description.
Showcase Your Technical Skills: Since this role requires deep technical expertise, make sure to include specific examples of your work with AI architectures, MLOps, and cloud platforms. We want to see how you’ve applied your knowledge in real-world scenarios!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
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 and Agentic AI. Be ready to discuss specific frameworks like LangChain and LlamaIndex, and how you've applied them in real-world scenarios. This will show that you’re not just familiar with the theory but have hands-on experience.
✨Showcase Your Consulting Skills
Since this role involves a lot of client interaction, practice articulating complex AI concepts in simple terms. Prepare examples of how you've successfully communicated technical ideas to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between tech and business.
✨Prepare for Technical Leadership Questions
Expect questions about leading teams and mentoring engineers. Think of specific instances where you guided a team through a challenging project or implemented best practices in MLOps. Highlight your leadership style and how you foster collaboration and innovation.
✨Understand the Business Impact
Be ready to discuss how AI can drive measurable business outcomes. Prepare examples of past projects where your AI solutions led to significant improvements or transformations for clients. This will show that you understand the strategic importance of AI in a business context.
