The Z Software AI team is looking for Quality Assurance Engineer who show the initiative and thrive at tackling problems. The AI landscape as a whole is rapid paced and comes with ever developing requirements, which you as a test engineer would be required to help design and engineer test solutions that innovate within that environment. This will include understanding AI principals with data manipulation and transformation, prompt engineering, and model validations as we look to build up high quality solutions. You will be applying the software engineering rigour to developments from IBM Research, ensuring proper processes and best practices are followed accordingly. Your ability to shift between technologies and languages is important for this role.You as a Quality Assurance Engineer, design complex product component test cases, and integrate software packages, programs and reusable objects residing on multiple platforms. As an ambitious individual who can work under senior architect's direction towards agreed targets and goals, you have the ability to manage change and to work under stress. You are curious to learn as demonstrated by your up-to-date technical knowledge. You are a good team player and you are familiar with Agile methodologies and principles and/or have experience working in an Agile team. We seek an applicant who will thrive in an open, dynamic, flexible, fun, spirited, collaborative environment; an individual who desires creative freedom and the opportunity to work in a high performing team.As a Test Automation Engineer lead you will be responsible for Testing and Automating test cases for AI applications through the full systems development lifecycle.Participate in the design and implementation of sophisticated software systemsYou will work with the Product Architects, Product Managers to understand various priorities and work towards the execution.Create test plans.Execute testing following the test plan.Automate the test cases.Understand the domain , requirements and convert it to test cases and automate it.Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), and GitHub.Ensure good code coverage. Support bug fixes during testing and deploy to target environments.Participate in the planning, creation and execution of automated test cases and load/performance testing. Create/maintain technical documentation.Hands on experience in handling and debugging customer issues, work with L2 support team.Maintain a high level of proficiency with Computer Science/Software Engineering knowledge and contribute to the technical skills growth of other team members.You will be providing vigilance and compliance to various software engineering, support and release processes e.g security, stack upgrades that are free of vulnerabilities etc.Skills you will develop:An understanding of AI technologies (especially foundation and Large Language Models (LLM))Tackling the challenges of training, testing, benchmark, and validating AI generated content and code.Becoming familiar with the business applications of AI and how the Watsonx platform brings value to IBM clients.
