OneMain Financial Jobs

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary The Software Automation Engineer (P3) is a senior individual contributor responsible for designing, developing, and maintaining automated test solutions across Ontada's product ecosystem, with a strong focus on AIenabled and GenAIpowered systems. Reporting to the QA Lead, this role drives highquality automation for UI, API, backend, and data layers, while ensuring AI/ML features meet expectations for correctness, reliability, safety, and compliance. This role partners closely with Product, Engineering, and MLOps teams to validate both traditional software workflows and AIdriven behaviors, including promptbased systems, retrievalaugmented generation (RAG), and modelintegrated services. Key Responsibilities Quality Engineering Ownership & Execution Own and execute test strategy, planning, and execution for assigned features, services, or product areas under the guidance of the QA Lead. Identify functional, integration, and nonfunctional quality risks early; communicate risks, impacts, and recommendations clearly. Author comprehensive test strategies, test plans, and test cases aligned with product requirements and acceptance criteria. Perform exploratory testing to uncover complex, edgecase, and systemic defects. Coordinate endtoend validation across multiple environments to ensure release readiness. Test Automation & Framework Development Design, develop, and maintain automated test suites across UI, API, service, and data layers. Contribute to the enhancement and maintainability of automation frameworks using tools such as Selenium, Playwright, Cypress, TOSCA, or similar. Develop robust API automation using RestAssured, Postman, or equivalent frameworks. Implement effective test data strategies, including synthetic data generation and environment setup. Integrate automated tests into CI/CD pipelines to support fast and reliable feedback cycles. Leverage AIassisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate test automation development, refactoring, and debugging while maintaining code quality and security standards. Use AI tooling to assist with test case generation, edgecase identification, and datadriven scenario expansion, validating all outputs through engineering judgment and established QA practices. AI / GenAI Quality Engineering Design and execute test strategies for AI/ML and GenAIpowered features, including LLMbased workflows. Validate prompt behavior, prompt templates, and prompt chaining across different scenarios and data contexts. Perform negative testing for AI systems, including prompt injection, jailbreak attempts, hallucination risks, and unsafe outputs. Test RetrievalAugmented Generation (RAG) pipelines, including: Embedding quality validation Retrieval accuracy, recall, and relevance Chunking and indexing strategies Validate AI outputs for accuracy, consistency, explainability, and compliance in regulated environments. Collaborate with Engineering and MLOps teams to test model integrations, configuration changes, and inference pipelines. Utilize AIpowered tools to support prompt analysis, test scenario exploration, and hypothesis generation