Mphasis · 15 hours ago
Quality Engineering Lead - AI-driven projects
New York, United States
Full-time
Onsite
Lead/Staff
10+ years expMphasis is seeking a QE Lead for AI Projects, who will be responsible for driving quality assurance and engineering excellence in AI-driven initiatives. The role involves managing a QE team, designing test strategies, and ensuring high-quality product delivery through collaboration and mentorship.
Artificial Intelligence (AI)BlockchainCyber SecurityInformation TechnologyIT Management
Responsibilities
Lead and manage the QE team in all phases of AI project development, from requirements analysis through deployment and maintenance
Design, implement, and maintain end-to-end test frameworks and automation solutions tailored for AI/ML systems
Establish and enforce best practices for quality engineering, code reviews, and CI/CD pipelines in AI environments
Collaborate with data scientists, developers, and product managers to define testable requirements and acceptance criteria
Develop and execute comprehensive test plans, including functional, performance, security, and reliability testing for AI models and data pipelines
Analyze test results, identify root causes of defects, and drive continuous improvement initiatives
Mentor and coach junior QE engineers, fostering a culture of quality and innovation
Stay abreast of the latest trends and advancements in AI testing methodologies, tools, and technologies
Qualification
Required
Minimum 10 Years of Experience Required
Minimum 10 years of experience in quality engineering, with at least 5 years focused on AI/ML projects
Deep understanding of AI/ML model development, data pipelines, and deployment lifecycles
Strong expertise in test automation frameworks (e.g., Selenium, PyTest, Robot Framework) and scripting languages (Python, Java, etc.)
Experience with CI/CD tools (e.g., Jenkins, Azure DevOps, GitLab CI) and version control systems (e.g., Git)
Demonstrated leadership skills, including team management, project planning, and cross-functional collaboration
Excellent problem-solving abilities and a track record of driving quality improvements in complex technical environments
Preferred
Experience with cloud-based AI platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform)
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, TFX)
Understanding of data privacy, security regulations, and ethical considerations in AI
Exposure to big data technologies (e.g., Apache Spark, Hadoop) and data engineering workflows
Certifications in AI, software testing, or relevant cloud technologies
Strong communication and stakeholder management skills
Company
Mphasis
Mphasis is an IT services company that offers blockchain, cyber security, product engineering, DevOps, and other services. It is a sub-organization of Blackstone Group.
10001+ employees
H1B Sponsorship
Mphasis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1685)
2024 (1453)
2023 (1350)
2022 (1639)
2021 (1415)
2020 (1251)
Funding
Current Stage
Public CompanyTotal Funding
$68.92MKey Investors
Blackstone Group
2020-04-02Post Ipo Equity· $68.92M
2016-04-05Acquired
2004-06-04IPO
Leadership Team
Nitin Rakesh
Chief Executive Officer and Managing Director
Aravind Viswanathan
Chief Financial Officer
Recent News
2026-01-24
Business Standard India
2026-01-23
Company data provided by crunchbase