Job Description

For a project in the financial industry, we are looking for an experienced DevOps Engineer for consulting and development in the construction of a GenAI platform in a DevOps team composed of data scientists, business engineers and DevOps engineers (reference no.: 924440KS).

Main tasks:

Design of the overall technical architecture of the GenAI platform, including data ingestion, model training, provision of APIs/endpoints, and integration with the bank's existing IT systems. Development of technical standards and architecture blueprints to ensure that all components (databases, ML models, applications) work together seamlessly and comply with enterprise and regulatory architecture requirements. Review designs, guide development teams on best practices (e.g., microservices, model reuse), and make decisions on tools and frameworks to ensure scalability and maintainability. Collaborate with business and IT teams to understand business requirements and incorporate them into the architecture. Monitoring new technologies, frameworks and tools in the field of artificial intelligence and machine learning.

Requirements:

Expertise in system design and integration patterns (e.g., microservices, event-driven architectures, APIs). In-depth understanding and experience with ML/MLOps architectures, including model serving, feature stores, and pipeline orchestration, to develop a robust GenAI ecosystem. In-depth knowledge of cloud platforms (especially Azure) and container orchestration (e.g., Kubernetes) to design scalable and resilient deployments. Ability to evaluate trade-offs between on-premises and cloud solutions, particularly taking into account data residency requirements in Switzerland. Experience with integrating AI solutions into system landscapes that contain legacy systems.

Languages:

German: B2 - Independent language use English: C1 - Expert User - Advanced (CAE)

Reference No .:

924440KS

Role:

DevOps Engineer

Location:

Zurich and region

Workload :

100%

Start Date:

01.10.2025

End date:

31.03.2027

Job Type: 100%

Work Location: On the road