AI Architect

Role: AI Architect Location: London, UK (Exp Range 12+) Type of work: Contract Mode of work: Hybrid 2 days Onsite in week JD: Essential skills/knowledge/experience: * Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents). * Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments). * Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). * Hands‑on expertise with agentic frameworks (orchestrators). * Experience with LLMs, prompt engineering, tool/function calling, memory management. * Exposure to AI quality metrics: task success rate, groundedness, containment, FCR. * Experience on Google Cloud Platform (preferred) or equivalent hyperscale. * Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering. Desirable skills/knowledge/experience: * Build Production Grade Agentic AI applications and necessarily have navigated through security, governance and performance management of the end to end model. * Hands-on expertise on MLOps / AgentOps, CI/CD, and observability. * Strong understanding of regulated financial services environments. * Proven experience implementing AI risk controls, model governance, and auditability. * Ensure alignment with FCA, PRA, data privacy, model risk management, and LBG internal policies. * Knowledge of banking processes: retail banking, lending, payments, compliance. * Strong experience designing end‑to‑end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring. * Hands‑on expertise with cloud AI platforms (GCP). * Strong knowledge of LLMOps practices, including CI/CD for models, model registries, feature stores, lineage tracking, and observability. * Experience architecting scalable real‑time, batch, and streaming inference systems with clear performance and reliability requirements. * Familiarity with secure cloud patterns, IAM, VPC design, and data protection