AI + Automation QA Engineer

• Analyze business requirements, user stories, APIs, and technical specifications to define 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 documentation.
• Perform AI-assisted test impact analysis to determine affected applications, APIs, user stories, and regression scope.
• Build reusable automation assets and improve 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 repositories, services, APIs, and downstream applications.
• Validate and govern AI-generated outputs with human-in-the-loop review practices.

We are seeking an AI + SQE Automation Engineer to join our dynamic team. The ideal candidate will have strong experience in quality engineering, test automation, and AI-assisted testing using tools such as GitHub Copilot, Microsoft Copilot, and AI-enabled test solutions and a proven ability to accelerate test design, optimize regression suites, perform dependency and impact analysis, and improve quality reporting across the SDLC., * Quality engineering across functional, integration, regression, API, and risk-based testing in Agile/Scrum environments.

• Defect management and root cause analysis with strong analytical skills.
• Automation using Selenium, Playwright, or Cypress with Cucumber BDD and TestNG/JUnit.
• API automation with REST Assured or equivalent tools and sound test data management.
• AI skills including GitHub Copilot, Microsoft Copilot, prompt engineering, AI-assisted test generation and automation, AI-driven defect analysis, regression optimization, human-in-the-loop validation, and responsible AI practices.
• Technical proficiency in Java, JavaScript, or Python, SQL and data validation, Git/Bitbucket, and CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Experience with API testing tools and log analysis or monitoring tools.

Preferred Skills:

• Test impact analysis and dependency graph analysis.
• AI-powered test maintenance and self-healing automation frameworks.
• Observability and telemetry analysis using OpenTelemetry, Splunk, or similar platforms.
• LLM and agent-based testing approaches.
• Cloud and container fundamentals, Kubernetes, and DevOps concepts.
• Data quality validation and governance.

• 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.