About Cigna Healthcare Cigna Healthcare is a integral health service company dedicated to transforming healthcare. Our mission is to improve the health, well‑being, and peace of mind of those we serve. Join our globally recognized brand, where trust, communication, and a positive culture are at the core of everything we do. The Lead AI Architect (AI) is responsible for defining, adopting, and assuring AI‑enabled data architectures that are commercially viable, technically robust, and aligned to Cigna’s enterprise and data strategy. As part of the International Health Global Architecture function, this role sets architectural direction and ensures strategic priorities are realised through data and AI delivery. This role will drive innovation, productivity and operational improvements, and customer experience transformation by applying modern AI architecture in a secure, scalable, and responsible manner. This role collaborates closely with business leaders, product teams, engineering, and third‑party partners to ensure data and AI investments deliver measurable value while meeting regulatory, operational, and security requirements.
Strategy & Architecture Leadership
Define and maintain reference target‑state data and AI architectures for International Markets, aligned to enterprise architecture standards and data strategy.
Act as a senior architectural authority for AI‑enabled data solutions, ensuring consistency, reuse, and long‑term sustainability across the landscape.
Advocate for AI‑driven data design, embedding modern AI and analytics patterns into enterprise data platforms and services.
Maintain an active awareness of emerging trends in data architecture, AI/ML, and enterprise technology, assessing their potential impact and value for Cigna, advising senior leadership on AI strategy,



feasibility and adoption paths.
AI Architecture
Define architectural patterns and standards to support AI model lifecycle management, AI and data pipelines, feature engineering, and associated design artefacts.
Define and maintain reference architectures and design patterns for LLM‑based applications, covering model access, orchestration, retrieval, prompt management, evaluation, and observability.
Ensure that AI architectures support the needs of data science, analytics, and AI use cases, including scalability, performance, data quality, and governance.
Work with Solution Architects and engineering teams to translate business and technical requirements into coherent end‑to‑end data and AI solution designs.
Provide architecture governance through design reviews, standards definition, and participation in architecture review and approval forums.
Support sponsors in the creation of well‑rounded and compelling business cases for data and AI‑led change.
Stakeholder & Commercial Leadership
Take a lead role in the selection and assessment of third‑party data and AI solutions, establishing and maintaining effective supplier and partner relationships where required.
Apply strong commercial awareness, including financial planning, budgeting, and cost‑benefit considerations, in architectural decision‑making.
Provide high‑level mentoring and guidance to architects,



design, and development teams to embed data and AI principles, standards, and best practices.
Take a lead role in the selection and assessment of third‑party data and AI solutions, establishing and maintaining effective supplier and partner relationships where required.
Contribute to the maturity of Cigna’s data and AI architecture capability through knowledge sharing, standards development, and continuous improvement.
Apply strong commercial awareness, including financial planning, budgeting, and cost‑benefit considerations, in architectural decision‑making.
Demonstrated expertise in architecting and leading large‑scale AI initiatives, taking solutions from proof of concept through to successful production deployment.
Deep understanding of architectural considerations and trade‑offs in AI and machine learning projects, built through hands‑on delivery experience.
Large Language Models (LLMs), embeddings, prompt engineering – Retrieval‑Augmented Generation (RAG), Knowledge bases and Multimodal embeddings Agentic AI workflows and tool calling – Model Context Protocol (MCP) concepts and context management Knowledge on foundational models and inference profiles.
AI Architecture & Tooling Awareness of AI Gateway / model access layer design and access controls on the gateways.
Experience in architecting solutions with vector databases and semantic search for efficient retrieval of information from large volumes of unstructured data.
Skilled in leveraging document intelligence platforms (e.g., Azure Form Recognizer, AWS Textract, Google Document AI) for document classification, data extraction, and entity recognition from varied formats including scanned docu

📌 Architect / Technology Lead (Madrid)
🏢 Cigna Health And Life Insurance
📍 Madrid