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2 дня назад

Senior AI Engineer for QA and SDLC (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Engineer for QA and SDLC (AI): Building AI-enabled quality engineering capabilities, agentic QA automation, and scalable test frameworks across enterprise software products with an accent on generative AI, intelligent testing, DevOps, and continuous verification. Focus on designing AI agents for test orchestration, modernizing CI/CD quality controls, and leading quality-engineering transformation across distributed systems and cloud-native platforms.

Location: Warsaw, Poland; hybrid work model with the option to work from home two days a week and regular office engagement.

Company

Procter & Gamble produces globally recognized consumer brands and operates in approximately 70 countries.

What you will do

  • Define and execute the vision and roadmap for AI-enabled Quality Engineering across IT products and platforms.
  • Transform quality assurance into a proactive, 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 covering functional, integration, API, performance, security, accessibility, and end-to-end testing.
  • Modernize test frameworks, integrate automated quality controls into CI/CD pipelines, and drive shift-left practices, contract testing, static analysis, and continuous verification.
  • Lead quality engineers and automation specialists while partnering with engineering, architecture, product, DevOps, and QA communities.

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.
  • Strong understanding of AI engineering, including 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 adjacent enterprise processes.
  • Practical knowledge of DevOps, including CI/CD, infrastructure as code, automated deployment, environment management, observability, and production monitoring.
  • Experience with functional, API, integration, end-to-end, performance, security, accessibility, and user-acceptance testing.
  • Understanding of modern application architecture, including APIs, microservices, event-driven systems, cloud-native platforms, and distributed systems.
  • Strong product-management mindset with the ability to translate business outcomes into technical capabilities, quality requirements, and measurable engineering priorities.
  • Excellent analytical, problem-solving, communication, and decision-making skills.

Nice to have

  • Experience designing and implementing test-automation frameworks using Playwright, Cypress, Selenium, pytest, JUnit, NUnit, or comparable tools.

Culture & Benefits

  • Large-scale projects with access to global IT partners and technologies from the first day.
  • Training and certification opportunities for self-development.
  • Competitive starting salary and benefits including private healthcare, P&G stock, savings plans, and sport cards.
  • Regular salary increases and potential promotions based on results and performance.
  • Opportunities to change roles every few years.
  • Full-time employment under an Umowa o Pracę contract.

Hiring process

  • The recruiting process is described in an informational video.

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