Job Description
We're looking for an AI Technical Architect to lead the design and delivery of cutting-edge Generative AI and Agentic AI solutions for major global organisations. This is a senior, client-facing role where you'll combine deep technical expertise, architecture leadership, and strategic advisory to shape high-impact AI transformations.
The Role
As an AI Architect, you will play a key role in shaping enterprise AI strategy and delivering innovative solutions across large-scale environments.
Key Responsibilities
AI Solution Architecture
* Design and architect enterprise-grade GenAI, Agentic AI and ML solutions aligned to client business goals.
* Build scalable architectures using modern cloud platforms (Azure, AWS or GCP).
* Lead the design of RAG-based solutions, AI assistants, and autonomous agent systems.
Technical Leadership
* Guide the end-to-end delivery of complex AI implementations.
* Evaluate and select models, frameworks and orchestration tools.
* Ensure solutions are scalable, secure and production-ready.
Client Advisory
* Act as a trusted advisor to senior stakeholders during workshops, discovery sessions and transformation programmes.
* Support pre-sales activities including solution shaping, proposals and business cases.
Innovation & Strategy
* Contribute to AI thought leadership and go-to-market propositions.
* Identify opportunities to optimise operations, improve productivity and unlock new value through AI.
Your Experience
We're looking for a strong mix of AI architecture expertise, hands-on engineering knowledge and consulting capability.
Key Skills & Experience
* Proven experience architecting Generative AI, Agentic AI, machine learning and automation solutions in enterprise environments.
* Strong expertise in LLMs and RAG architectures, including models such as OpenAI, LLaMA, Mistral or Claude.
* Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph.
* Experience designing AI systems using vector databases (e.g. Pinecone, Weaviate, FAISS).
* Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies.
* Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow).
* Knowledge of MLOps / LLMOps practices and tooling (MLflow, Kubeflow, Docker, Kubernetes).
* Experience delivering AI solutions on AWS, Azure or GCP
* Experience leading or mentoring teams of AI engineers or data scientists.
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates