Morgan Stanley

Generative AI (GAI) - QA Lead

Morgan Stanley

New York, NY, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

At Morgan Stanley, we are looking for a passionate and driven individual to join our team as a Generative AI (GAI) QA Lead. This role is an excellent opportunity to join a fast-paced, collaborative environment and make a real impact on the development of our GAI platform. The ideal candidate will have a strong technical background, a keen eye for detail, and an unwavering commitment to excellence.You will be responsible for leading the Quality Assurance (QA) team in testing our GAI platform and ensuring it meets the highest standards of quality. You must be comfortable working in a highly-collaborative environment and possess strong communication skills to effectively coordinate with multiple teams. The ideal candidate must have a keen eye for detail, be organized and have a commitment to excellence.To be successful in this role, you must have a minimum of 5 years of experience in Quality Assurance and/or Software Development, as well as experience in automation testing and test scripting. Knowledge of the GAI platform is a plus. The ideal candidate will also have a degree in Computer Science or a related field.If you are an experienced QA professional and looking to join a fast-paced and collaborative team, then this is the role for you! We look forward to hearing from you.

Responsibilities:

• Lead the Quality Assurance (QA) team in testing the Generative AI (GAI) platform • Coordinate with multiple teams to ensure the platform meets the highest standards of quality • Develop and maintain automation testing scripts and test cases • Analyze and report on testing results to ensure accuracy and consistency • Monitor and troubleshoot issues to prevent delays in the development process • Maintain documentation of all QA activities • Stay up to date on the latest trends and best practices in Quality Assurance • Provide guidance and support to other team members in QA processes

Where is this job?
This job is located at New York, NY, USA
Job Qualifications
  • Bachelor's Degree In Computer Science

  • Engineering Or Related Technical Field

  • Strong Knowledge Of Artificial Intelligence (Ai) And Machine Learning (Ml) Technologies

  • At Least + Years Of Professional Experience In Software Development

  • Experience With Automation Frameworks And Test Automation Tools

  • Familiarity With Development And Deployment Processes In Cloud-Based Environments

  • Experience With Devops And Continuous Integration And Delivery

Required Skills
  • Machine Learning

  • Automation

  • Natural language processing

  • Data Mining

  • Analytics

  • Modeling

  • System Design

  • Problem-Solving

Soft Skills
  • Communication

  • Emotional Intelligence

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Critical thinking

  • collaboration

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Generative AI (GAI) - QA Lead in New York, NY, USA is between $103,000 and $142,000 per year. This salary range is dependent on experience, qualifications, and specific industry.

Additional Information
Morgan Stanley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedOctober 13th, 2023
Apply BeforeMay 22nd, 2025
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About Morgan Stanley

Morgan Stanley provides investment banking products and services to its clients and customers including corporations, governments, financial institutions, and individuals. It operates through the following business segments: Institutional Securities, Wealth Management, and Investment Management. The Institutional Services segment provides financial advisory, capital-raising services, and related financing services on behalf of institutional investors.

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