As a Quality Architect within EPAM's Testing Practice, you will play a pivotal role in designing and implementing advanced quality assurance strategies for enterprise software delivery, leveraging cutting-edge technologies such as Artificial Intelligence (AI) and Retrieval-Augmented Generation (RAG) frameworks. Your expertise will empower clients to achieve high-quality software releases with optimized efficiency and innovation, ensuring alignment with modern testing paradigms.
In this leadership-focused role, you will architect scalable, reusable testing solutions, introduce AI-driven capabilities to enhance automation and analytics, and act as a trusted consultant for global clients across diverse and complex environments.
Req.#834063063
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Responsibilities
Design and implement end-to-end quality assurance strategies tailored to client needs, incorporating AI/ML technologies and modern testing approaches
Define testing standards, processes, and governance models at organization or project levels, ensuring alignment with best practices (e.g., Agile, DevOps, CI/CD, shift-left testing)
Integrate Retrieval-Augmented Generation (RAG)-based solutions into automation frameworks to enable advanced data-driven testing and test optimization
Develop and deploy AI-driven testing solutions for predictive analytics, pattern detection, fault localization, anomaly detection, and intelligent test case generation
Architect RAG frameworks to enhance test automation coverage using dynamic retrieval methodologies combined with large language models (LLMs) such as GPT or similar technologies
Utilize AI/ML models and tools to accelerate performance, security, and resiliency testing, as well as to optimize test workflows
Architect scalable, robust, and reusable test automation frameworks integrating AI algorithms for continuous improvement and smarter test execution
Drive the adoption of cloud-native AI-powered testing tools throughout CI/CD pipelines and DevOps workflows
Create intelligent dashboards that leverage AI for actionable insights on defect trends, testing bottlenecks, and proactive risk mitigation
Lead efforts to optimize performance testing using intelligent algorithms and real-time analytics based on AI models
Develop security testing strategies enhanced by AI-driven threat analysis and vulnerability detection
Implement RAG-driven approaches for efficiently extracting domain-specific knowledge from data sources to inform testing strategies in enterprise applications
Work closely with business, development, and operations teams to align quality objectives with project goals and delivery timelines
Serve as the technical advisor for integrating AI/ML-based testing technologies into the organization's IT landscape and delivery pipelines
Act as a subject matter expert in AI-driven and RAG-enabled testing solutions, providing clients with insights into the latest advancements in intelligent automation
Identify opportunities to innovate through the introduction of next-generation AI-powered tools and frameworks (e.g., integrating LLMs where applicable)
Build reusable AI-based test architecture patterns and solutions that can be leveraged across multiple projects and client engagements
Mentor and upskill QA teams in AI/ML tools, RAG frameworks, and advanced testing methodologies to expand testing capabilities
Lead workshops and technical sessions with internal teams and clients on leveraging AI and RAG for sophisticated quality assurance use cases
Collaborate on the development of organizational assets such as AI-enabled testing playbooks and reusable RAG templates
Define and implement test analytics powered by AI/ML to optimize defect management, test efficiency, and resource allocation
Develop intelligent dashboards to monitor quality KPIs, including defect prediction models and recommendation-driven metrics
Provide stakeholders with actionable insights and reporting using AI-enhanced quality analytics
Requirements
Hands-on experience with AI/ML-driven testing tools and frameworks (e.g., Google TensorFlow, PyTorch, or AI-enabled testing tools like Test.ai)
Deep understanding of Retrieval-Augmented Generation (RAG) methodologies and implementing LLM-based solutions for dynamic data-driven testing
Proficiency with AI frameworks, including GPT, OpenAI, Hugging Face, or similar large language model technologies for testing and automation use cases
Expertise in leveraging AI for intelligent test case generation, defect prediction, automated analytics, and fault identification
Proven experience designing and scaling test automation frameworks for enterprise-grade applications using modern tools (e.g., Selenium, Appium, Cypress)
Familiarity with designing data-driven frameworks that incorporate AI/ML models for smarter testing and ongoing improvement
Proficient with programming languages (e.g., Python, JavaScript, Java) and ability to integrate AI/ML components into existing frameworks
Skilled in integrating AI for performance bottleneck identification and optimization of large-scale enterprise applications
Strong knowledge of security testing tools and utilizing AI-based risk analysis to enhance application security compliance
Ability to translate business requirements into actionable quality architectures that leverage AI technologies
Experience managing diverse teams to implement AI/ML-driven and RAG-enabled testing strategies successfully
Experience in conducting client assessments
Excellent communication and presentation skills to articulate complex technical ideas to stakeholders of varying technical backgrounds
Expertise in working in Agile environments and integrating AI-driven testing solutions into CI/CD pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps
Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field
8+ years of experience in software quality assurance/testing, with at least 3+ years of experience working with AI-powered testing frameworks or RAG-enabled solutions
Deep expertise with practical implementations of large language models (LLMs) and Retrieval-Augmented Generation frameworks for enterprise applications
Certifications in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning, TensorFlow Developer) strongly preferred
We offer
Medical, Dental and Vision Insurance (Subsidized)
Health Savings Account
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability (Company Provided)
Life and AD&D Insurance (Company Provided)
Employee Assistance Program
Unlimited access to LinkedIn learning solutions
Matched 401(k) Retirement Savings Plan
Paid Time Off - the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
Paid Holidays - nine (9) total per year
Legal Plan and Identity Theft Protection
Accident Insurance
Employee Discounts
Pet Insurance
Employee Stock Purchase Program
If otherwise eligible, participation in the discretionary annual bonus program
If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
This Remote Position Cannot be Performed in New York City.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $105,000 - $180,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
Applications will be accepted on a rolling basis.
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EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.