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# Lead Solution Architect

- **Company:** Zurich Insurance
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Applications Architecture, Automation of Tests, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Data Security, DevOps, Identity and Access Management, Machine Learning, Message Broker, Data Streaming, Systems Integration, Datadog, Data Logging, Large Language Models, Git, Event Driven Architecture, AI Platforms, Kubernetes, Information Technology, Graphql, Data Management, Machine Learning Operations, CIS Benchmarks, Api Gateway, Terraform, Data Pipelines, Api Management, Serverless Computing, Microservices
- **Published:** September 29, 2026
- **Apply:** https://www.careers.zurich.com/talentcommunity/apply/1373368557/?locale=en_US

## About the Role

* Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
 * Extensive experience in Solution Architecture, Enterprise Architecture, or related technical leadership roles.
 * Strong knowledge of cloud platforms such as AWS or Azure, including Kubernetes, serverless, managed databases, and identity and access management.
 * Experience with microservices, APIs, event-driven architectures, and modern integration patterns (API gateways, message brokers, streaming platforms).
 * Solid understanding of application architecture, infrastructure, networking, security, and data management principles.
 * Experience designing or integrating AI/ML solutions (model serving, inference APIs, AI observability, responsible AI controls) is a strong plus.
 * Hands-on experience with GitOps practices (declarative configuration, Git as source of truth, automated reconciliation) and Terraform-based Infrastructure as Code.
 * Experience leading cross-functional teams and influencing stakeholders at multiple organizational levels.
 * Strong analytical and problem-solving skills, with the ability to balance business and technical requirements.
 * Experience with Agile, DevOps, and modern software delivery practices, including CI/CD and automated testing.
 * Excellent communication, presentation, and stakeholder management skills.
 * Ability to work effectively in a fast-paced, global, and highly collaborative environment.
 * Fluent English, both written and spoken.

## Description

* Lead the design and delivery of end-to-end solution architectures aligned with business and technology strategies, with a focus on cloud-native and AI-enabled solutions.
 * Define architecture principles, standards, and best practices to ensure scalability, security, reliability, and maintainability across microservices, APIs, data pipelines, and AI workloads.
 * Design solution blueprints covering application, data, integration and infrastructure views.
 * Collaborate with business stakeholders, product owners, and technical teams to translate business requirements into solution designs and non-functional requirements.
 * Guide and mentor solution architects, engineers, and development teams throughout the project lifecycle.
 * Evaluate emerging technologies (managed AI services, LLM platforms, event streaming, serverless, API management, observability tooling) and recommend innovative solutions.
 * Ensure integration across applications, platforms, data, and infrastructure components using modern integration patterns (REST/GraphQL APIs, event-driven messaging, secure data exchange).
 * Review and approve architectural designs, data models, technical specifications, and implementation approaches.
 * Manage architecture governance processes, ensuring adherence to enterprise architecture standards, security baselines, and cloud policies.
 * Identify technical risks, dependencies, and constraints, proposing mitigation strategies where required.
 * Work closely with security, infrastructure, data, and engineering teams to ensure architectural consistency and compliance with Zurich's security and risk guidelines.
 * Define observability and operational readiness patterns (logging, metrics, tracing, alerting) for production-grade solutions.
 * Communicate architecture decisions, roadmaps, and technical strategies to both technical and non-technical audiences.