AI Architect
AI Architect (Generative & Agentic AI)
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
Solution Architecture & Delivery
- 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
Technical Leadership & Innovation
- 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
Consulting & Communication:
- 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