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Julius Baer

Senior System Architect ML & AI 100% (f/m/d)

Julius Baer is hiring a Senior System Architect ML & AI 100% (f/m/d) in Zurich, Switzerland. Level rates it ; you can apply on Julius Baer.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include MLOps and AI automation.
  • Level classifies it as a senior role.
  • Level lists 191 other open roles at Julius Baer.

AI in this role

ml-opsai-automation

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

You are a member of the System Architects team within global IT Architecture. Together with your colleagues from the Domain and Foundation Architecture teams, you are responsible for designing Solution Architectures.

As a System Architect within the ML & AI ART, you are responsible for defining and aligning the end‑to‑end system architecture for enterprise AI and ML solutions. Your objective is to ensure the ART delivers scalable, secure, and reusable AI capabilities aligned with enterprise architecture principles, target architectures, and business priorities, while enabling efficient and high-quality delivery across teams.

YOUR CHALLENGE

  • You design and are responsible for the Solution Architecture of applications and AI platform components in delivery
  • You ensure that Solution Architectures in delivery adhere to architecture standards and are aligned with the target architectures of the domain
  • You initiate architecture decisions, document them as Architecture Decision Records (ADR) and have them approved by the relevant architecture boards
  • You advise and coach software engineers on the implementation of Solution Architectures and ensure technical feasibility

Within the ML & AI ART in collaboration with the Lead Architect, you:

  • Apply and refine the ART‑level target architecture within team and initiative contexts
  • Drive hands‑on architectural design for AI and ML solutions within the teams, balancing consistency while addressing delivery needs
  • Support the delivery of key ART initiatives (e.g. the 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

YOUR PROFILE

  • 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

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

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How we rate this

Senior System Architect ML & AI 100% (f/m/d) at Julius Baer rates 62 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsAI Automation

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Tell me about a workflow you automated with AI tools, end to end.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: ML Ops and AI Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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