Job Description Job Description
Title: QA Architect, AI-Led Test Automation
Duration: Long term Contract
Location: Atlanta, GA (Hybrid)
The role
You own the quality engineering lifecycle for a global industrial manufacturing client, embedded in their Atlanta office, and you make AI a working part of it rather than a pilot. You lead an offshore automation pod of four to six engineers and are the client's single point of accountability for test strategy, coverage, and release confidence.
This is a hands-on architect role. You design the framework, write code when it matters, and set the standards the pod follows.
Reporting: Parkar delivery leadership, with a dotted line to the client's quality and data leaders.
What you will own
Lifecycle and architecture
- Design the end-to-end QA lifecycle: requirement intake, test design, automation, execution, defect flow, and reporting.
- Build and maintain an open-source automation framework (Playwright or Selenium) with code in Git, clear tagging, and release-aligned branching.
- Make the framework system-aware so a change in one system drives the right regression scope across Salesforce, integration, and ERP.
AI across the lifecycle
- Use AI to review user stories for testability, missing acceptance criteria, and cross-system risk before development starts.
- Generate and curate test cases and scripts with AI, with human review as a standinggate.
- Operate self-healing locators, change-impact based regression selection, and AI-assisted flaky-test triage. Own the thresholds and the audit trail behind each.
- Set the guardrails: what AI decides, what it proposes, and what a human must approve.
Client and governance
- Be the quality voice in planning, release readiness, and go/no-go calls.
- Publish the metrics that matter: coverage against change, defect escape rate, cycletime, automation stability.
- Work with the client's existing toolchain (Tosca, Azure DevOps, Copado) rather thanagainst it. Protect the Tosca investment and show where open source and AI extend it.
Required
- 10+ years in software quality engineering, with 3+ years as a QA architect orautomation lead on enterprise programs.
- Deep hands-on automation in Playwright or Selenium, in Java, TypeScript, or Python,with production frameworks you designed yourself.
- Working knowledge of Tricentis Tosca. The client is committed to Tosca, so you must be able to assess the existing suite, keep it productive, and integrate it with the open-source and AI layers rather than replace it.
- Proven test automation across complex enterprise landscapes: ERP (SAP preferred),CRM (Salesforce preferred), and the integrations between them.
- CI/CD fluency in Azure DevOps, including pipelines, test plans, and work itemtraceability.
- Practical use of AI in the delivery workflow: GitHub Copilot or equivalent, plus AI-assisted test generation, self-healing, or impact analysis.
- Experience leading distributed onshore and offshore teams.
- Credibility with senior client stakeholders. You can defend a test strategy in a room of directors and CIOs.
Preferred
- Tosca certification (AS1/AS2 or Tosca Automation Specialist Level 2 and above), or experience running a Tosca practice at scale.
- Copado or Salesforce release management experience.
- Performance, API, and data validation testing depth.
- Background in manufacturing, field service, or supply chain systems.
- Experience standing up a QA practice or centre of excellence from scratch.
