Engineering Lead – AI Agentic

Your role

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!

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 and DevSecOps specialists builds products and services that help data scientists and engineers efficiently develop, deploy, monitor, and secure GenAI and ML models into an Agentic ecosystem.

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
• developing and managing agentic frameworks and platforms
• developing APIs and services for AI products, such as for monitoring of models and agents for performance, security and auditability and integrating security solutions such as model scanners, AI firewalls, secure communications, entitlements and controls

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Your team

AI team is a new and important unit within the Core Platform Engineering at UBS operating under the Group CTO function in the Technology Services division. CPE spearheads strategic technology projects, transformative initiatives, and regulatory compliance efforts.

We are a multinational team with diverse backgrounds and we strongly value different perspectives, skills and experiences which helps us build the best product for our clients.
Our team offers comprehensive training tailored for cross-competency advancement and career progression.
If your interests and skills closely match a good part of the skills listed below – let us know!

Your expertise

• strong software engineering skills (design & architecture, coding excellence, championing best practices, promoting automated testing, constructive code and design reviews, debugging & problem solving, communication and agile planning)
• polyglot programming: Strong proficiency in one or more language such as java, .net, python with a focus on writing clean, efficient, and maintainable code. Willing and able to learn new languages quickly.
• devOps and CI/CD: experience in setting up and managing CI/CD pipelines to automate build, test, and deployment processes (e.g. using GitLab)

Additional skills that would be beneficial:
• cloud: Solid understanding of cloud services, capabilities, and architecture. Experience in deploying, managing, and scaling applications. Preference for Azure.
• containerization and orchestration: Expertise in Docker and Kubernetes, ideally also with Azure Kubernetes Service (AKS) for deploying and managing containerized applications.
• cloud security: Understanding of cloud security best practices, e.g. role-based access control (RBAC), network security groups (NSGs), and Azure Active Directory (AAD).
• business continuity and disaster recovery knowledge, e.g. strategies and tools for ensuring data integrity and service availability in case of failures.
• incident management: experience in managing incidents, conducting root cause analysis, and implementing corrective actions.
• cost management: experience in using Azure Cost Management tools to monitor and optimize cloud costs.
• ansible: experience with Ansible for configuration management and automation.