QA / QV AI Automation Engineer Lead

Job Description

We are seeking a QA/QV Lead to join our AI Technologies Engineering team, reporting to the Senior Engineering Manager of AI Technologies. In this role, you will drive quality assurance and verification (QA/QV) strategies, leveraging Generative AI-powered solutions to enhance testing efficiency and effectiveness. As a hands-on leader, you will oversee the design and execution of both manual and automated testing processes, ensuring our AI-driven solutions meet or exceed quality and usability standards. You will collaborate closely with product managers, architects, and engineers, applying your expertise in QA/QV, software engineering, user experience, and design patterns to optimize product reliability and performance. In addition to leading a team of QA/QV engineers, you will personally implement innovative AI-driven testing technologies, manage test case development and execution, and refine QA/QV methodologies. Strong planning, communication, and problem-solving skills are essential to shaping the future of QA/QV in this cutting-edge environment. Key Responsibilities Engineer and deploy automated QA solutions Collaborate with Product Management and Engineering Leadership to align priorities with the roadmap and ensure product quality meets established requirements. Foster continuous improvement in Agile practices, team dynamics, and QA/QV methodologies. Identify risks, manage dependencies, and ensure on-time delivery of high-quality products Monitor and report quality metrics, test progress, and product readiness to stakeholders. Be a change agent, driving operational effectiveness and implementing process improvements. Required Skills 6+ years collaborating with global teams of engineers, product managers, and stakeholders You excel at thinking outside of the box and finding creative and innovative solutions to challenging problems 6+ years of experience engineering QA / QV automation solutions and executing manual testing 2+ years of experience leading QA \ QV teams Comprehensive understanding of the software development lifecycle (SDLC) Plan and execute change management through a formal change management process. Undergraduate or graduate degree in Computer Science, Information Technology or equivalent domain Good Hands on experience in Cloud Technologies-, AWS, Azure ,GCP. Beneficial Experience Knowledge of AI/ML/Generative AI concepts, processes, and applications. Knowledge of cloud-based AI services and infrastructure