AI Architect

Job description

Knowledge of 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. </ul