Julius Baer
Financial Services
SeniorAITestAutomationEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Test Automation Engineer at Julius Baer. Skills: AI Test Automation, MLOps, Python Automation, CI/CD Integration. Define test automation approach. Evolve test automation framework architecture”
Industry & Context.
Root cause analysis; Flaky test investigation; Defect triage
What They're Looking For.
Must Have
5-7 years Test Automation, Substantial hands-on Python, Framework design ownership, Test execution at scale, Python-based test automation, Playwright-Python, Behave or pytest-bdd, requests + pytest, Design and own test automation frameworks, Integrate and execute automated tests, Git and version control, Clean code principles, Code review culture, API design, Microservices, Event-driven architectures, Authentication layers, SAFe and DevOps experience, Jira for Story/Feature tracking, Test management integration, End-to-end thinking, Information security awareness, Data privacy awareness, Compliant test data handling, Bachelor's or Master's degree
Nice to Have
Kubernetes basics, Testing AI/ML systems, Experience with Jira, Test management integration (Xray, Agile Hive), Experience in a regulated environment, ISTQB certifications, SAFe certifications, DevOps disciplines certifications, Fluency in Spanish
What You'll Do.
Define test automation approach
Evolve test automation framework architecture
Design reusable test automation patterns
Analyse requirements for testability
Evaluate features for testability
Evaluate stories for testability
Select test techniques
Automate identified test cases
Apply clean code principles
Design AI/ML-specific test cases
Implement AI/ML evaluation pipelines
Maintain contract tests
Integrate automated tests
Orchestrate automated tests
Provision test environments
Plan automated test executions
Schedule automated test executions
Trigger automated test executions
Monitor execution health
Investigate flaky tests
Quarantine flaky tests
Maintain low false-positive rate
Triage execution results
Raise defects in Jira
Communicate quality signals
Produce execution evidence
Contribute to PI Planning
Contribute to System Demos
Contribute to Inspect & Adapt
Ensure end-to-end traceability
Maintain BDD scenarios
Collaborate with Product Owners
Collaborate with Scrum Masters
Collaborate with ML Engineers
Collaborate with MLOps Engineers
Collaborate with Data Engineers
Align work with Test Strategy
Support reporting requirements
Support audit-ready artefacts
Support traceability matrices
Support test progress reporting
Support root cause analysis
Consult squads on automation design
Consult squads on framework usage
Consult squads on tooling choices
Consult squads on test data strategy
Design AI/ML-specific test datasets
Ensure continued compliance
How You'll Work.
Team & Collaboration
Across squads; With Product Owners; With Scrum Masters; With ML Engineers; With MLOps Engineers; With Data Engineers; With Test Managers; With Architects
Communication Scope
Quality signals communication; Reporting
Process & Methodology
SAFe, Agile Release Train
Full Job Description
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 will join our ML & AI ART as a Senior AI Test Automation Engineer, responsible for the technical test automation solution supporting our AI and MLOps platform. The platform powers AI-driven capabilities across the Bank including RAG systems, LLM-based assistants, agentic workflows, and ML pipelines serving business-critical use cases. You will own the architecture, implementation, and execution of our test automation frameworks, covering both traditional software components (APIs, UIs, data pipelines) and emerging AI/ML-specific behaviour , and act as the Test Automation Ambassador within the ART. You will work within the Bank's Test Strategy, while owning the technical depth and hands-on delivery of automation for your platform. ## **YOUR CHALLENGE** * Define and evolve the technical test automation approach and framework architecture for the ML & AI ART, aligned with the Bank's Test Strategy and Test Policy * Design reusable, scalable test automation patterns (page objects, API clients, test data builders) that other engineers across squads can adopt, ensuring technical consistency of test automation across the ART * Analyse and evaluate requirements, Features, and Stories for testability during PI Planning, Backlog Refinement, and Iteration Planning * Derive test cases from technical and risk analysis of both functional and non-functional requirements (reliability, performance, security, usability, robustness), selecting appropriate test techniques and automation scope based on risk, coverage goals, and ROI * Automate identified test cases using Python-based frameworks — Playwright-Python for UI, requests + pytest for APIs, Behave or pytest-bdd for BDD/Gherkin — applying clean code principles, reusability, readability, and stabil
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