Investment Solutions IT Domain Architect; f​/m​/d

LGT is the largest Private Banking and Asset Management group in the world to be owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we have years of experience in the management of sizeable sums of assets.

Join our dynamic and agile team responsible for building LGT's cutting-edge Investment Solutions Platforms. The platforms integrate product, content, portfolio, suitability and client information to empower Relationship Managers and Investment Specialists to proactively engage with clients. This role is global in nature across Europe and Asia, presenting unique compliance and localization challenges.

We are a relatively small but highly effective team, geographically distributed across Japan, Hong Kong, Barcelona, Lichtenstein, and Zurich. We are seeking a talented senior‑level Domain Architect who is passionate about delivering tangible business value iteratively through fast release cycles and leveraging modern technologies. The role spans the full software development lifecycle, from ideation and architecture to deployment and optimization, all in a collaborative and supportive environment.

This role is also the key collaboration point into Enterprise Architecture.

• Collaborate closely with stakeholders, product managers, business analysts, and end‑users to understand business needs, analyze problems, and propose innovative technical solutions that enhance functionality and user interaction.
• Architect and implement technical solutions that adhere to LGT's standards, deliver optimized client experience, and provide competitive advantage.
• Develop AI solutions (e.g., automation, chatbots, agent‑based systems, MCP prototyping) and integrate them seamlessly with existing business systems to augment platform capabilities.
• Champion establishment and use of modern robust API shared data approach including designing and optimizing databases (Mongo
  
  DB, Postgre
  
  SQL).
• Champion use of modern Dev Ops practices including automation and CI/CD pipelines using Git Lab CI/CD, Docker, Kubernetes, and ArgoCD to ensure quality change, system responsiveness, and deployment efficiency for global reach.
• Develop multi‑region deployment solutions, proactively addressing geo‑specific compliance requirements and localization challenges.
• Ensure data integrity and security by implementing industry’s best practices and LGT's security standards.
• Drive and contribute to test automation efforts, ensuring quality at every stage of the development lifecycle.
• Troubleshoot, debug, and upgrade software, ensuring high performance and reliability.
• Collaborate effectively with cross‑functional teams to build reusable, shared libraries and components.
• Write clear, concise, and comprehensive technical documentation.
• Mentor and coach junior team members, providing technical guidance, and enforcing governance with respect to application development and testing standards and best practices.

• Solid experience in domain architecture with the strong emphasis on having strong understanding of software engineering design patterns.
• Prior experience in Investment products, Private Banking, Wealth, or Asset Management.
• Strong analytical, problem‑solving, and troubleshooting skills with great attention to detail.
• Demonstrated experience in technical leadership, mentoring, and driving best practices.
• Knowledge of algorithms, object‑oriented, and functional design principles and best practices patterns.
• Experience with Python for backend and data engineering is a bonus.
• Experience with REST API development and designing/optimizing No
  
  SQL (Mongo
  
  DB) and RDBMS (Postgre
  
  SQL) databases.
• Familiarity with containerization (Docker) and orchestration (Kubernetes), and experience with CI/CD tools such as Git Lab CI/CD and ArgoCD.
• Understanding of microservices architecture and cloud‑native application development.
• Able to master CI/CD practices and solutions, with the strong understanding of cloud environments (Azure preferred).
• Experience or strong interest in AI‑assisted development, AI frameworks, and system integration with AI models (e.g., Agent, MCP).
• Experience working in an Agile/Scrum environment and the familiarity…