QA Test Lead AI

Altimetrik Poland is a digital enablement company. We deliver bite-size outcomes to enterprises and startups from all industries in an agile way to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a strong focus on core development, and an ability to attack the challenging and complex problems of the biggest companies in the world.We are looking for QA Test Lead AI that will be responsible for defining and driving the overall Quality Engineering strategy for one or more product domains. This role leads a team of SDETs and QE engineers, ensuring high-quality releases across web, mobile, and API channels, with strong emphasis on automation, shift-left practices, and adoption of AI-enabled quality engineering capabilities. Responsibilities:Own end-to-end QA strategy and test planning for assigned product/domain, covering functional, regression, integration, non-functional, and UAT testing.Define and maintain test approaches, risk-based coverage, and entry/exit criteria for each release and environment.Embed QA activities into backlog refinement, sprint planning, and development workflows (shift-left).Align test scope with product priorities and release timelines in collaboration with Product and Engineering.Ensure high-value scenarios are automated and integrated into CI/CD pipelines for fast feedback.Review and approve framework design decisions, code quality, and reusability of automation assets.Collaborate with DevOps to define and maintain test environments, smoke suites, and regression packs.Drive continuous improvement of automation suites—stability, performance, coverage, and execution time.Define and own the roadmap for AI adoption in Quality Engineering: RAG-based testing utilities, agentic AI workflows, and AI-driven analytics. Guide the team on safe and effective use of AI for test design, test data generation, log/defect analysis, and root cause analysis.Partner with architecture and platform teams to ensure AI-based testing utilities are robust, observable, and governed.Lead and mentor SDETs and QE Engineers; perform workload distribution, coaching, and performance feedback.Conduct regular reviews of test scenarios, automation scripts, and test reports to maintain high standards.Establish and publish QA dashboards; communicate quality status, risks, and mitigation plans to stakeholders.Facilitate defect triage and Root Cause Analysis sessions; ensure corrective and preventive actions are implemented and tracked.Drive process improvements, best practices, and standardization across squads (test design, automation, AI usage, documentation).Champion a culture of quality-first mindset, continuous learning, and AI-enabled innovation within the QA team.And if you possess8–10 years of experience in Quality Engineering / Software Testing, with at least 3–4 years in a lead role.Proven experience leading distributed QA/SDET teams in Agile/Scrum environments.Strong background as a hands-on SDET / Automation Lead (web, mobile, API).Strong understanding of test automation across UI (web and mobile) and API layers.Proficiency with at least one programming language (Java or Python preferred) and experience working with modern automation frameworks (Selenium/Appium/Rest Assured or equivalents).Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions), version control (Git), and test execution on grids/device farms. Familiarity with API testing, JSON/XML payloads, and microservices-based architectures.Advanced GenAI/AI engineering expertise, including: Experience with RAG (Retrieval-Augmented Generation) architectures, understanding of AI-based applications and agentic AI workflows.Strong Python programming skills and familiarity with libraries like LangChain and related ecosystems.Experience designing or using QE accelerators and AI-assisted test tools.Ability to evaluate AI/QE accelerators and integrate them into existing QA processes and frameworks.Ability to mentor other team members in consuming AI toolchains and interpreting AI outputs.Strong knowledge of Agile/Scrum, DevOps practices, and continuous testingExperience with test management and defect tracking tools (e.g., Jira, XRay or similar, Confluence).Solid understanding of metrics and KPIs for quality (defect density, leakage, automation coverage, cycle time, etc.).Excellent verbal and written communication; able to work effectively with product owners, architects, developers, DevOps, and business stakeholders.Experience testing large-scale web/mobile platforms; experience in regulated or data-sensitive domains is an advantage.Understanding of security, privacy, and compliance considerations in testing (preferred).We grow fast.We learn a lot.We prefer to do things instead of just talking about them.If you would like to work in an environment that values trust and empowerment don't hesitate, just apply