12 meilleures offres (devops / cloud engineer) (à pourvoir)

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- 100%
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AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
- 100%
- Bar
- Informatique
- Niveau Doctorat
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Consultant Snowflake DBT
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Senior System Architect ML & AI 100% (f/m/d)

Julius Baer -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 1 jour

Qualifications

CI/CD
Anglais
Niveau Master
Niveau Licence
Technologies de l'information
Compétences en communication

Description complète du poste

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.

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