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Senior Quality Engineering​/Agentic AI Lead

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Inabia Software & Consulting Inc.
Full Time position
Listed on 2026-09-18
Job specializations:
  • Software Development
    AI QA / Validation Engineer, Software Testing
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

One of our clients is seeking a highly experienced Senior Quality Engineering / Agentic AI Lead
with 12+ years of QA/QE experience and strong hands-on expertise in modern test automation, data migration testing, AI-driven quality engineering, and enterprise application testing.

This is NOT a Test Manager or purely managerial role. Hands-on technical experience is mandatory.

The candidate will leverage Agentic AI and AI-assisted development tools
to accelerate test automation, test generation, defect analysis, impact analysis, and overall quality engineering practices.

Key Responsibilities
  • Lead and contribute hands-on to Quality Engineering and test automation initiatives
    across complex enterprise applications.
  • Design and implement Agentic AI solutions for Quality Engineering
    , including AI agents that support test case generation, automated testing, defect triage, root-cause analysis, impact analysis, and regression optimization.
  • Leverage AI-assisted development tools such as Git Hub Copilot, Claude Code, Kiro, Cursor
    , or similar technologies.
  • Develop and maintain robust, scalable automation using Playwright
    .
  • Work hands-on with existing automation frameworks, troubleshoot failures, debug code, and enhance framework capabilities.
  • Design and execute data migration testing
    involving SQL Server and PostgreSQL
    .
  • Perform source-to-target reconciliation, ETL validation, data quality testing, and schema mapping validation.
  • Develop complex SQL queries
    for data validation, reconciliation, and test analysis.
  • Perform functional, integration, regression, API, and end-to-end testing across enterprise applications.
  • Test applications built using .NET/.NET Core and Angular
    , including associated APIs and integrations.
  • Develop and maintain automated tests as part of Azure Dev Ops CI/CD pipelines
    .
  • Collaborate closely with developers, architects, product owners, business stakeholders, and client leadership.
  • Provide client-facing technical leadership
    and communicate QE strategy, risks, findings, and recommendations.
  • Mentor other QE engineers while remaining actively involved in hands-on development and troubleshooting.
Required Technical Skills
Agentic AI / AI-Assisted Quality Engineering
  • Hands-on experience applying Agentic AI to Quality Engineering or Software Testing
    .
  • Experience using AI agents for test automation, test generation, defect triage, impact analysis, regression optimization, or test analysis.
  • Experience with Git Hub Copilot, Claude Code, Kiro, Cursor
    , or similar AI-assisted development tools.
Test Automation
  • Deep hands-on experience with Playwright is mandatory.
  • Strong experience designing, developing, debugging, and maintaining automated test frameworks.
  • Ability to write production-quality automation code and troubleshoot complex automation failures.
Data Migration & Data Quality
  • Strong experience with SQL Server and PostgreSQL
    .
  • Hands-on experience with data migration testing, ETL validation, source-to-target reconciliation, data quality, and schema mapping.
  • Strong SQL
    skills.
Application & Integration Testing
  • Experience with .NET / .NET Core and Angular
    applications.
  • Strong experience with API and integration testing
    .
CI/CD
  • Strong hands-on experience with Azure Dev Ops
    .
  • Experience integrating automated testing into CI/CD pipelines
    .
Preferred Skills
  • AWS:
    RDS, Lambda, S3, ECS/EKS, API Gateway, Cloud Watch
  • REST Assured
  • Postman
  • Karate
  • Selenium
  • Datadog
  • Splunk
Qualifications
  • 12+ years of QA / Quality Engineering experience
    .
  • Strong hands-on automation and software testing background.
  • Proven experience with Playwright
    .
  • Hands-on experience with Agentic AI for Quality Engineering
    .
  • Strong SQL and data validation experience.
  • Experience with SQL Server and PostgreSQL.
  • Experience with data migration, ETL, reconciliation, and schema validation.
  • Experience with .NET/.NET Core, Angular, APIs, and integration testing.
  • Strong Azure Dev Ops and CI/CD experience.
  • Demonstrated client-facing QE technical leadership
    experience.
  • Ability and willingness to code, debug, troubleshoot, and enhance automation frameworks
    .
Important Role Clarification

This is a hands-on technical Quality Engineering leadership position. It is NOT a Test Manager role.

Position Requirements
10+ Years work experience
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