AI + Automation QA Engineer

• Analyze business requirements, user stories, APIs, and technical specifications to develop comprehensive test strategies.
• Design, develop, and maintain automation frameworks for UI, API, integration, and end-to-end testing.
• Leverage AI tools to generate and optimize test cases, test data, automation scripts, and test documentation.
• Perform AI-assisted test impact analysis to identify affected applications, APIs, user stories, and regression scope.
• Build reusable automation assets and improve test execution efficiency through AI-assisted development.
• Validate data quality, business rules, controls, and compliance requirements.
• Execute and support continuous testing within CI/CD pipelines.
• Analyze application telemetry, logs, and production signals to identify quality risks and testing gaps.
• Participate in dependency analysis across code repositories, services, APIs, and downstream applications.
• Validate and govern AI-generated outputs using human-in-the-loop review practices.

We are seeking a AI + SQE Automation Engineer to join our dynamic team. The ideal candidate will have strong experience in AI-assisted testing, quality engineering, and test automation across UI, API, and end-to-end layers and a proven ability to increase productivity, reduce risk, and improve test effectiveness through AI tools and continuous testing practices., * Quality Engineering: Functional, integration, regression, API, and risk-based testing in Agile/Scrum environments with defect management and root cause analysis.

• Automation: Selenium, Playwright, or Cypress. Cucumber BDD. TestNG or JUnit. REST Assured or equivalent API tools. Framework design and maintenance. Test data management.
• AI & Copilot: GitHub Copilot, Microsoft Copilot, prompt engineering, AI-assisted test case generation and automation development, AI-driven defect analysis, AI-based regression optimization, human-in-the-loop validation, and responsible AI practices.
• Technical: Java, JavaScript, or Python. SQL and data validation. Git or Bitbucket. Jenkins, GitHub Actions, or Azure DevOps. API testing tools. Log analysis and monitoring tools.

Preferred Skills:

• Test impact analysis, dependency graph analysis, AI-powered test maintenance, and self-healing automation frameworks.
• Observability and telemetry analysis using OpenTelemetry, Splunk, or equivalent platforms, plus experience with LLM and agent-based testing.
• Cloud and container fundamentals, Kubernetes, DevOps concepts, and data quality validation and governance.
• Agile tools such as Jira.

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.