QA Consultant

Position: AI QA Consultant (AgenticAI /OpenAI /LLM)

Location: offshore Remote-India (Must be in India no outside candidate will be considered)

IV Process: TBD

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.

Hands-on experience with codeless/no-code test automation (Tosca, mabl, Katalon, etc.)

Job Description:

AI QA Enablement Specialist

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