{"@context":"https://schema.org/","@type":"JobPosting","title":"AI Technical Architect

As an AI Architect, you will play a key role in shaping enterprise AI strategy and delivering innovative solutions across large-scale environments., 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.

• 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.