GenAI Automation Lead

4 days ago

Reston, Virginia, United States Capgemini Full time
Job Title: GenAI Automation Lead

Job Summary:

We are seeking a highly skilled GenAI Automation Lead to join our team at Capgemini. As a key member of our QA team, you will be responsible for designing and implementing a robust GenAI-based QA automation strategy that supports Windows, iOS, cloud services, and firmware development.

Key Responsibilities:

  • Design and implement a scalable GenAI-based QA automation strategy that ensures seamless integration and scalability across various platforms.
  • Collaborate with data scientists, software development teams, and other AI professionals to gather insights into testing needs and challenges.
  • Standardize QA processes and tools across all teams, integrating GenAI technologies to automate testing tasks and minimize manual effort.
  • Select cloud, on-premises, or hybrid deployment models and ensure new tools are well-integrated with existing data management and analytics tools.
  • Educate and mentor team members in GenAI-based testing techniques, tools, and best practices.
  • Stay up-to-date with advancements in AI, machine learning, and QA technologies to continually refine our QA automation strategy.
  • Assess and enhance the performance of the QA automation framework to guarantee high efficiency, effectiveness, and reliability of testing operations.
  • Promote cooperation among software development, QA, and IT operations teams to ensure an integrated approach to product quality and release cycles.

Requirements:

  • Experience in QA automation, including substantial expertise in formulating and executing QA automation strategies.
  • Proven track record with GenAI technologies and their application in QA automation.
  • Proficiency in automation tools and frameworks with a comprehensive understanding of testing in Windows, iOS, cloud platforms, and firmware environments.
  • In-depth knowledge of software development life cycles, Agile methodologies, and DevOps/MLOps practices.
  • Strong problem-solving abilities and creativity in a dynamic work setting.
  • Exceptional communication and leadership skills with the capacity to guide cross-functional teams and spearhead initiatives.
  • Certifications relevant to QA methodologies, Agile, or project management.
  • Experience with machine learning models and applying them in testing scenarios.
  • Knowledge of QA automation processes and practices.
  • Thorough knowledge of AI concepts (NLP, deep learning, ML, and related adjacencies), Data Engineering, and distribution.

Disclaimer:

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

This is a general description of the duties, responsibilities, and qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant

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