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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions for enterprise environments.
- Company: Dynamic tech firm focused on cutting-edge AI transformation.
- Benefits: Competitive salary, bonuses, professional development, and flexible working.
- Why this job: Shape the future of AI and make a real impact in a senior role.
- Qualifications: Experience in Generative AI, strong Python skills, and team leadership.
- Other info: Opportunity for continuous learning and career growth in a collaborative environment.
Is this the role you are looking for? If so, read on for more details, and make sure to apply today.
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
- Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.)
- Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph
- Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries
- Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP)
- Solid software engineering foundations for building scalable, maintainable systems
- Experience leading or guiding teams of AI / software engineers
- 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 in Tower 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 Tower
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or industry events. You never know who might be looking for an AI Architect just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative and Agentic AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your consulting skills. Be ready to discuss how you've turned AI concepts into real business value. Practice explaining complex ideas in simple terms – it’s key for client-facing roles!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Architect in Tower
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 expertise in Generative and Agentic AI, and don’t forget to mention any relevant projects or achievements that showcase your technical prowess.
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 experience with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Since this role requires deep technical knowledge, make sure to include specific examples of your work with AI architectures, MLOps, and cloud platforms. This will help us see your hands-on experience and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 or LlamaIndex, and how you've applied them in real-world scenarios. This shows you're not just familiar with the theory but can also translate it into practice.
✨Showcase Your Consulting Skills
Since this role involves client-facing responsibilities, prepare examples of how you've successfully engaged with stakeholders in the past. Think about times when you translated complex AI concepts into business value, as this will demonstrate your ability to communicate effectively.
✨Prepare for Technical Questions
Expect deep technical questions about MLOps, RAG pipelines, and model fine-tuning. Practise explaining these concepts clearly and concisely, as you'll need to convey your expertise to both technical and non-technical audiences during the interview.
✨Demonstrate Leadership Experience
Highlight any experience you have leading teams or mentoring others in AI projects. Be prepared to discuss how you drive best practices and innovation within your team, as this is crucial for a senior role like the AI Architect position.
