At Julius Baer, individual qualities are valued, enabling you to be impactful, entrepreneurial, empowered, and to create value beyond wealth. Join in shaping the future of wealth management. As a member of the System Architects team within global IT Architecture, you collaborate with colleagues from Domain and Foundation Architecture teams to design Solution Architectures. As a System Architect within the ML & AI ART, you define and align the end-to-end system architecture for enterprise AI and ML solutions, ensuring scalable, secure, and reusable AI capabilities aligned with enterprise architecture principles, target architectures, and business priorities.
Tasks
- Design and take responsibility for the Solution Architecture of applications and AI platform components in delivery.
- Ensure Solution Architectures in delivery adhere to architecture standards and align with target architectures of the domain.
- Initiate architecture decisions, document them as Architecture Decision Records (ADR), and have them approved by relevant architecture boards.
- Advise and coach software engineers on the implementation of Solution Architectures and ensure technical feasibility.
- Apply and refine the ART-level target architecture within team and initiative contexts in collaboration with the Lead Architect.
- Drive hands-on architectural design for AI and ML solutions within teams, balancing consistency and delivery needs.
- Support the delivery of key ART initiatives (e.g. AI automation orchestration layer) by translating high-level architecture into concrete solution designs.
- Ensure alignment and integration with enterprise platforms, data capabilities, security standards, and MLOps services.
- Identify architectural risks, dependencies, and technical debt at team and solution level, and escalate them proactively.
- Contribute architectural input to PI Planning, backlog refinement, and roadmap discussions from a delivery and feasibility perspective.
- Act as the primary architectural contact for assigned teams, while aligning closely with the Lead Architect and other System Architects.
Requirements
- At least 3 years of experience as a Senior Architect in complex IT environments.
- At least 5 years of experience as a Lead or Senior Software Engineer, with hands-on responsibility including practical experience with AI/ML solutions and platforms.
- Responsible for solution architectures: from design and implementation to operation.
- Ability to identify options for solution architectures and make trade-off architecture decisions.
- Collaboratively develop and coordinate solutions with business and technology stakeholders and architecture colleagues.
- Proactive mindset, able to work under pressure and meet deadlines.
- Practical experience designing and delivering AI and ML solutions in scalable enterprise platforms.
- Strong understanding of AI/ML solution patterns, data pipelines, orchestration, and platform integration.
- Ability to translate ART- and domain-level target architectures into practical, team-level solution designs.
- Experience working across multiple teams while maintaining architectural alignment and consistency.
- Ability to identify architectural risks and technical debt early and address them constructively.
- Strong communication skills, with the ability to clearly explain architectural topics to both technical and non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a comparable field.
- Additional certifications are an advantage (e.g. SAFe, cloud, architecture, or AI/ML-related certifications).
- English: business fluent.
- Solid foundation in software and system architecture, including modern architectural styles such as event-driven architectures, microservices, and modular monoliths.
- Strong understanding of distributed systems, APIs, and platform integration patterns.
- Practical familiarity with AI/ML platforms and ecosystems, including data pipelines, orchestration, and model lifecycle concepts.
- Experience working with CI/CD pipelines, DevOps practices, and operational considerations in production environments.
- Ability to work effectively in agile and SAFe environments using common collaboration and delivery tooling.
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Das Team
The System Architects team works within global IT Architecture, collaborating with Domain and Foundation Architecture teams. Within the ML & AI ART, you work closely with the Lead Architect and other System Architects.