Ai Architect Lead

Location: Remote - Portugal, Spain or UK BasedAbout the Role We are working with a consultancy specialising in the insurance sector that is looking for an AI Architect to lead the design and delivery of production-ready Agentic AI and Generative AI solutions.You will shape AI architecture and strategy, developing scalable, secure and governed solutions that deliver measurable business value across underwriting, claims and wider insurance operations.This role combines hands-on technical expertise with architectural leadership, responsible AI, and the ability to advise senior stakeholders on AI adoption and transformation.Key Responsibilities Lead the architecture and delivery of multi-agent AI systems, including orchestration, tool-calling, memory management and human oversight.Design production-grade Retrieval-Augmented Generation (RAG) solutions, including retrieval strategies, re-ranking, grounding and traceability.Establish evaluation frameworks, guardrails and testing processes to monitor AI accuracy, hallucinations, performance, cost and reliability.Develop reusable AI components and scalable architectures to support enterprise adoption.Lead the implementation of MLOps and LLMOps pipelines, including model and prompt versioning, deployment automation and monitoring.Establish Responsible AI practices covering explainability, bias, governance, auditability and regulatory compliance.Assess AI maturity, data readiness and platform capabilities, developing target architectures, operating models and AI roadmaps.Advise senior stakeholders on AI strategy and identify opportunities to improve business performance through agentic AI and GenAI.Lead cross-functional teams across engineering, data science and product delivery, ensuring solutions progress beyond proof of concept into production.Translate complex technical concepts into clear recommendations, connecting AI initiatives to measurable commercial outcomes.Skills & Experience 8+ years of experience delivering AI/ML systems, including at least 3 years focused on Agentic AI or GenAI architecture at enterprise scale.Proven experience delivering multi-agent platforms and LLM-based applications into production, ideally within financial services or other regulated industries.Strong hands-on experience with agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or CrewAI.Strong understanding of RAG architectures, vector search, LLM integration and evaluation frameworks.Excellent Python skills and a solid understanding of distributed systems, API design, REST/gRPC and cloud-native architectures.Experience building production-grade MLOps/LLMOps pipelines, evaluation frameworks, monitoring solutions and cost-efficient inference services.Experience with technologies such as Databricks, MLflow, Unity Catalog and Azure ML, or equivalent model lifecycle and governance platforms.Knowledge of data engineering technologies, including Apache Spark, Kafka, Delta Lake and workflow orchestration tools.Experience with at least one major cloud platform: Azure, AWS or GCP.Strong understanding of Responsible AI, model governance, observability and production deployment practices.Experience leading cross-functional technical teams and engaging confidently with senior business and technology stakeholders.Ability to translate AI research and prototypes into scalable production systems that deliver measurable business value.Experience within insurance, particularly the London Market or Lloyd's of London.Understanding of underwriting, pricing, exposure modelling, claims, actuarial data, delegated authority or bordereaux processing.Experience applying AI to underwriting decision support, claims triage, document intelligence, risk assessment or operational automation.Knowledge of traditional machine learning techniques, including forecasting, classification, clustering, anomaly detection and optimisation.Experience with real-time conversational AI or voice assistants.Competitive salary package.Remote working or Hybrid within Portugal, Spain or the UK.Health and life insurance.Financial support for personal development and training.Flexible working environment.Supportive team culture and opportunities for career development.Relaxed dress code when working from the office.
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