Senior AI Engineer for QA and SDLC
Procter & Gamble4 days ago
Warsaw, PolandSenior
Responsibilities
- Define and execute the vision and roadmap for AI-enabled quality engineering across IT products and platforms.
- Transform traditional quality assurance into an automated, engineering-led discipline embedded throughout the software development lifecycle.
- Design and implement AI-assisted and agentic capabilities for test-scope definition, test execution, test-data generation, regression-impact assessment, and release-readiness evaluation.
- Lead scalable automation strategies covering functional, integration, API, performance, security, accessibility, and end-to-end testing.
- Modernize test frameworks and integrate automated quality controls into CI/CD pipelines.
- Drive risk-based automation, intelligent test selection, reusable frameworks, self-service engineering, shift-left practices, contract testing, static analysis, and continuous verification.
- Lead quality engineers and automation specialists in support of QA transformation and product roadmaps.
- Collaborate with engineering, architecture, product, DevOps, and QA communities to establish reusable enterprise quality capabilities.
Requirements
- Demonstrated experience defining and implementing quality-engineering strategies for complex enterprise applications and platforms.
- Software-engineering background with practical programming experience in one or more of Python, Java, C#, JavaScript, or TypeScript.
- Experience designing and implementing test-automation frameworks with tools such as Playwright, Cypress, Selenium, pytest, JUnit, or NUnit is preferred.
- Strong understanding of generative AI, large language models, prompt engineering, tool-enabled agents, evaluation methods, and AI application lifecycle management.
- Experience applying AI or intelligent automation to software engineering, testing, DevOps, operations, or related enterprise processes.
- Practical knowledge of DevOps practices including automated deployment, infrastructure as code, environment management, observability, and production monitoring.
- Experience with functional, API, integration, end-to-end, performance, security, accessibility, and user-acceptance testing.
- Understanding of APIs, microservices, event-driven systems, cloud-native platforms, and distributed systems.
- Ability to translate business outcomes into technical capabilities, quality requirements, and measurable engineering priorities.
- Strong analytical, problem-solving, communication, and decision-making skills.
Benefits
- Hybrid work model with the option to work from home two days per week and spend the remaining time in the office.
- Full-time employment contract (Umowa o Pracę).
- Private health care, P&G stock, saving plans, and sport cards.
- Training and certification development paths.
- Regular salary increases and possible promotions based on results and performance.
- Opportunities to change roles every few years within P&G.
Tech Stack
Categories
About Procter & Gamble
Procter & Gamble is a global consumer packaged goods company that makes and sells household, personal care, and hygiene products through retailers and e-commerce. Its portfolio includes brands such as Pampers, Tide, Gillette, Oral-B, and Pantene, serving consumers worldwide. Founded in 1837 and headquartered in Cincinnati, Ohio, P&G is a public company listed on the NYSE under the ticker PG.