We are seeking an experienced QA professional with strong expertise in Quality Engineering and practical experience implementing AI-driven solutions across the Software Development Lifecycle (SDLC). This role will be responsible for embedding AI into QA processes, improving product quality proactively, and driving intelligent automation initiatives that reduce manual effort, improve defect prevention, and accelerate delivery timelines. The ideal candidate will possess a strong understanding of product functionality, business workflows, testing methodologies, automation frameworks, and emerging AI technologies applicable to Quality Assurance and engineering operations.
Base salary range $73,000 - $110,000
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Responsibilities- Partner with Product, Engineering, Operations, and Business teams to gain deep understanding of product workflows, business rules, integrations, and risk areas.
- Design and implement AI-enabled QA solutions that help identify, predict, and prevent defects early in the SDLC.
- Embed AI capabilities into the product and QA ecosystem to improve monitoring, validation, anomaly detection, regression analysis, and quality insights.
- Leverage AI tools and frameworks for:
- Intelligent test case generation
- Automated test script creation and maintenance
- Defect prediction and root cause analysis
- Test optimization and prioritization
- Requirement-to-test traceability
- Regression impact analysis
- Automated validation and data quality checks
- Build and enhance automated testing frameworks for UI, API, database, and batch processing systems.
- Drive shift-left quality practices and integrate AI-enabled testing into CI/CD pipelines.
- Analyze production trends, defect leakage, audit findings, and operational data to recommend preventive quality controls.
- Collaborate with development teams to implement proactive quality gates and self-healing automation solutions.
- Evaluate emerging AI technologies, tools, and accelerators for adoption within QA and engineering processes.
- Create dashboards, reporting, and metrics demonstrating QA efficiency gains, defect reduction, automation coverage, and AI-driven improvements.
- Mentor QA team members on AI-assisted testing approaches and modern quality engineering practices.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
- 5+ years of experience in QA, Quality Engineering, or Test Automation roles.
- Hands-on experience implementing AI/ML-enabled solutions within QA or SDLC processes.
- Strong understanding of software testing methodologies, SDLC, STLC, Agile, and DevOps practices.
- Experience with test automation tools/frameworks such as Selenium, Playwright, Cypress, UFT, or similar.
- Strong experience with API testing, database validation, and backend testing.
- Experience using AI-assisted development/testing tools such as GitHub Copilot, OpenAI APIs, Azure AI, LangChain, Testim, Mabl, Functionize, or similar platforms.
- Proficiency in at least one programming/scripting language such as Python, Java, JavaScript, or C#.
- Experience integrating automated testing into CI/CD pipelines using tools like Azure DevOps, Jenkins, GitHub Actions, or similar.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- U.S Healthcare experience in Payment Integrity, Claims processing, Adjudication, etc.
- Experience developing predictive analytics or anomaly detection solutions for quality monitoring.
- Exposure to Generative AI, LLM-based workflows, prompt engineering, or AI agents in engineering operations.
- Experience in healthcare, payment integrity, audit, or enterprise platform environments.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Experience with Power BI, reporting, and operational insights generation is a plus.
*The posted base salary range is the hiring base salary range for this role. Final offers are based on several factors, including: the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position.
About UsSkills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
- 5+ years of experience in QA, Quality Engineering, or Test Automation roles
- Hands-on experience implementing AI/ML-enabled solutions within QA or SDLC processes
- Strong understanding of software testing methodologies, SDLC, STLC, Agile, and DevOps practices
- Experience with test automation tools or frameworks such as Selenium, Playwright, Cypress, UFT, or similar
- Strong experience with API testing, database validation, and backend testing
- Experience using AI-assisted development or testing tools such as GitHub Copilot, OpenAI APIs, Azure AI, LangChain, Testim, Mabl, or Functionize
- Proficiency in at least one programming or scripting language such as Python, Java, JavaScript, or C#
- Experience integrating automated testing into CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar
- Strong analytical, problem-solving, and communication skills
- U.S. healthcare experience in payment integrity, claims processing, or adjudication
- Experience developing predictive analytics or anomaly detection solutions for quality monitoring
- Exposure to Generative AI, LLM-based workflows, prompt engineering, or AI agents in engineering operations
- Experience in healthcare, payment integrity, audit, or enterprise platform environments
- Knowledge of cloud platforms such as Azure, AWS, or GCP
- Experience with Power BI, reporting, and operational insights generation
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
