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 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
Qa • Navi Mumbai, Maharashtra, India