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. Our leadership is consistent, approachable, and supportive-ensuring your well-being and work-life balance. Grow with us-and help shape the future of healthcare. We are seeking an AI Architect to drive the architecture, design, and adoption of enterprise-grade Generative AI (GenAI) solutions across the Cigna International Health. This role will drive innovation, productivity and operational improvements, and customer experience transformation by applying modern AI architectures in a secure, scalable, and responsible manner. The AI Architect will define end-to-end GenAI architectures, establish enterprise standards and reference patterns and layered guardrails. The role requires strong collaboration with product, security, privacy, legal, and cloud engineering teams, particularly in regulated enterprise environments. Enterprise GenAI Architecture & Strategy: Define and maintain the blueprints, reference architectures and design patterns for LLM-based applications, covering model access, orchestration, retrieval, prompt management, evaluation, and observability. Translate business and product requirements into robust AI solution architectures that balance innovation, reliability, cost efficiency, and risk management. Act as a GenAI subject matter expert, advising senior leadership on AI strategy, feasibility, and adoption paths. Architect knowledge bases and RAG architectures integrating structured and unstructured enterprise data sources. Establish agentic AI patterns, enabling multi-step reasoning, tool usage,



workflow orchestration, and human-in-the-loop controls. Assist in the evaluation of commercial LLMs and SaaS AI platforms, selecting the right tools for different workloads. Awareness of AI Gateway / Model Access Layer to centralize access to LLMs and AI services, including: o Authentication and authorization
- Model routing and versioning o Rate limiting, quotas, and cost controls
- Logging, auditability, and observability o Establish secure connectivity to LLM endpoints in the enterprise cloud, documenting DNS, routing, IAM policies, firewall rules, and network controls. o Integrate GenAI capabilities into existing enterprise systems and digital platforms. Embed Responsible AI principles—fairness, transparency, explainability, and accountability—into architecture and delivery practices. Partner closely with security, privacy, legal, and compliance teams to meet enterprise governance standards and emerging AI regulations. Define monitoring and evaluation frameworks to detect hallucinations, drift, misuse, and operational risks. Stay current with emerging AI trends, tools, and architectures, assessing their applicability to enterprise use cases. 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 documents, PDFs, and handwritten forms. Understanding of optical character recognition (OCR), natural language processing (NLP) techniques, and entity linking for extracting actionable insights from diverse data types. Awareness of data validation, quality checks, and document lifecycle management best practices to ensure compliance and reliability in document processing solutions. Content safety, moderation, and policy enforcement Human-in-the-loop architectures AI observability, monitoring, and evaluation frameworks Awareness of various data, privacy and legal standards across different geographical regions and ensuring the solution stays compliant with them. Cloud & Enterprise Engineering Experience architecting solutions with cloud platforms (Azure, AWS, or GCP) and their AI services Experience in architecting end-to-end AI solutions using various cloud services integrated with AI tools and runtimes. Secure API design, IAM, networking, and CI/CD integration Designing systems for scale, resilience, and global deployment 10+ years of experience building and architecting large-scale software or AI systems in medium-to-large enterprises. ~healthcare, finance, insurance, global enterprises). ~ The Senior AI Architect will shape how AI is built, governed, and trusted across the organization. Multicultural and hybrid working environment Private Medical Insurance Employee Wellbeing Benefits About Cigna Healthcare Cigna Healthcare, a division of The Cigna Group, is an advocate for

📌 AI Architect (España)
🏢 Cigna Healthcare
📍 España