Do you have a curious mind, want to be involved in the latest technology trends and like to solve problems that have a meaningful benefit to hundreds of users? Join our team to help the bank efficiently manage AI operations!
As an AI Platform engineer, you will leverage cutting edge technologies and best practice methodologies to build solutions that will help users across the bank manage their models and agents efficiently and reliably.
Our diverse, cross-functional team of MLOps engineers, DevSecOps specialists and software engineers builds products and services that help data scientists and engineers efficiently develop, deploy, monitor, and secure GenAI and ML models into agentic ecosystems.
We are looking for an engineer to:
- develop production-ready, robust, and scalable systems in the domain of Agentic operations with focus on next generation technology
- work closely with cross-functional teams to design, develop, and deploy intelligent agents that leverage LLMs, knowledge graphs, APIs, and enterprise data sources
- work in an agile setup to provide technical solutions that will vastly improve the lives of end users such as model developers, data scientists and quants
- bring considerable savings to UBS by improving the time to market of our AI applications, whilst adhering to the operational controls and governance
You will contribute to initiatives such as:
- developing and managing a centralized model registry for the bank
- developing tools and SDKs to simplify interaction with the Enterprise Data Mesh
- developing CICTCD pipelines for different runtimes and platforms
- developing APIs and services for AI products, such as for monitoring of models and agents for performance, security and auditability
- integrating security solutions such as model scanners, AI firewalls, secure communications, entitlements and controls