
Remote - AI QA Enablement - Offshore
1 week ago
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 authoring
- Standardize and scale codeless/no-code automation tools
- Prototype and deploy AI agents for QA tasks (e.g., drafting test cases, log triage)
- Define governance: prompt templates, logging, evaluation metrics, and safety guidelines
- Coach QA engineers via playbooks, workshops, and pairing sessions
- Track KPIs (coverage, authoring speed, defect detection) and iterate
Required Qualifications:
- 3–6 years in QA/QE with strong fundamentals
- Hands-on experience with codeless/no-code test automation (Tosca, mabl, Katalon, etc.)
- Practical LLM usage (prompting, evaluation) and exposure to Azure OpenAI Service
- Ability to create enablement materials and coach teams
Nice to Have:
- LangGraph/LangChain experience
- LLM evaluation frameworks
- Responsible AI practices (PII handling, safety filters)
- CI/CD familiarity (Azure DevOps, GitHub Actions)
Persona
- QA professional with strong automation background
- Curious, adaptable, and able to evangelize new tech
- Comfortable bridging QA and AI/ML concepts
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