Enterprise AI Architect

About the role

The role focuses on designing end‑to‑end, client‑specific AI architectures that bring together agents, models, enterprise data, applications, identity and controls across cloud and on‑premises environments.

Key responsibilities

• Translate business and product requirements into target architectures and implementation decisions.
• Design agent, RAG, model‑routing, integration, API, identity and human‑in‑the‑loop patterns.
• Define hybrid deployment patterns that address residency, latency, security, performance and cost constraints.
• Evaluate technology choices and document architecture decisions, trade‑offs and non‑functional requirements.
• Provide technical assurance throughout delivery and support production‑readiness reviews.
• Collaborate with governance, Responsible AI, cyber, privacy and sector specialists.

Required profile

• 8+ years of experience in solution, enterprise, cloud or AI architecture.
• Strong knowledge of generative AI, agentic systems, data platforms, integration and distributed applications.
• Experience designing hybrid cloud and on‑premises solutions.
• Ability to communicate architecture choices to executives, engineers, security teams and business owners.

Required skills

• Hands‑on experience with at least two agent orchestration frameworks such as LangChain, LangGraph, Microsoft Agent Framework, Semantic Kernel, OpenAI Agents SDK, AutoGen or CrewAI.
• Deep understanding of Retrieval‑Augmented Generation (RAG), embedding models, vector and hybrid search, knowledge graphs and context management.
• Design of model‑agnostic, multi‑model architectures including routing, prompt layers, caching and latency/cost optimisation.
• Proficiency with cloud AI platforms, containers, Kubernetes, private networking and zero‑trust security patterns.