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.