Position : AI QA Enablement
Location : Remote
Duration : Contract
Notes :
- AI Champion role.
- To help drive / expand codeless automation and AI agent development (MicroAzure OpenAI, Agent, etc.) in the QA org.
- Needs a testing background.
- This position could be nearshore or offshore.
- Focus on AI skills and ability to uplift team with new tech.
Summary :
We’re seeking an AI Champion to accelerate codeless automation and agentic AI workflows in QA. The role blends a strong QA / testing foundation with hands-on AI enablement, leveraging Azure OpenAI Service and codeless automation platforms to improve speed, coverage, and quality.
Responsibilities :
Introduce AI-driven patterns for test design, data generation, and regression authoringStandardize and scale codeless / no-code automation toolsPrototype and deploy AI agents for QA tasks (e.g., drafting test cases, log triage)Define governance : prompt templates, logging, evaluation metrics, and safety guidelinesCoach QA engineers via playbooks, workshops, and pairing sessionsTrack KPIs (coverage, authoring speed, defect detection) and iterateRequired Qualifications :
3–6 years in QA / QE with strong fundamentalsHands-on experience with codeless / no-code test automation (Tosca, mabl, Katalon, etc.)Practical LLM usage (prompting, evaluation) and exposure to Azure OpenAI ServiceAbility to create enablement materials and coach teamsNice to Have :
LangGraph / LangChain experienceLLM evaluation frameworksResponsible AI practices (PII handling, safety filters)CI / CD familiarity (Azure DevOps, GitHub Actions)Persona
QA professional with strong automation backgroundCurious, adaptable, and able to evangelize new techComfortable bridging QA and AI / ML concepts