AI Automation Consultant

Test Yantra

Testing Innovation Manager driving AI-powered Quality Engineering and Test Automation. Leading initiatives in enterprise-scale automation frameworks and intelligent testing solutions.

Posted 6/12/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies

JavaScript.NETPythonTypeScript

About the role

Key responsibilities & impact

Drive AI-powered innovation initiatives to enhance software testing quality, efficiency, coverage, and speed.
Design and develop enterprise-scale automation frameworks using Playwright, SpecFlow, AI Agents, and Generative AI technologies.
Build intelligent solutions capable of automatically generating, maintaining, and optimising test scripts through AI.
Architect and implement Agentic AI frameworks, autonomous testing workflows, and MCP Server-based integrations.
Develop AI-powered testing assistants using Microsoft Copilot, Copilot Studio, LLMs, and AI Agents.
Collaborate with Product, AI Engineering, and Automation COE teams to define and enhance AI-driven testing capabilities and roadmap initiatives.
Work closely with enterprise customers to identify testing challenges and drive AI-led Quality Engineering transformation programmes.
Develop Proof of Concepts (POCs), innovation accelerators, and reusable frameworks demonstrating measurable business value through AI-powered testing.
Define enterprise test automation strategies, architecture standards, and best practices while mentoring engineering and automation teams.
Support customer workshops, solution consulting, pre-sales engagements, demonstrations, and executive presentations while staying abreast of emerging AI and automation technologies.

Requirements

What you’ll need

8–15 years of experience in Software Testing, Quality Engineering, Test Automation, or Automation Architecture.
Strong expertise in Playwright Automation Framework Design and Development.
Experience building automation frameworks using SpecFlow and Behaviour-Driven Development (BDD) methodologies.
Deep understanding of Software Testing, Test Automation, Quality Engineering, and Enterprise Testing Practices.
Strong hands-on experience with Generative AI, Large Language Models (LLMs), AI Agents, and Prompt Engineering.
Experience designing and implementing MCP Server-based architectures and agent ecosystems.
Hands-on experience with Microsoft Copilot, Copilot Studio, or AI-powered productivity platforms.
Proven experience building AI-powered testing or automation solutions.
Strong understanding of CI/CD pipelines, DevOps, and Agile delivery models.
Experience integrating AI solutions with enterprise applications and testing platforms.
Strong programming skills in C#, .NET, Python, JavaScript, or TypeScript.
Excellent solutioning, architecture, consulting, and stakeholder management skills.

Benefits

Comp & perks

Opportunity to lead the future of AI-powered Quality Engineering and Software Testing.
Work on cutting-edge technologies including Agentic AI, Copilot, LLMs, MCP Servers, and Autonomous Testing.
Collaborate with AI researchers, R&D teams, enterprise customers, and automation experts.
High-visibility role with significant influence on product innovation, customer success, and business growth.
Be part of an organisation that is redefining software testing through Artificial Intelligence and intelligent automation.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PlaywrightSpecFlowGenerative AILarge Language ModelsAI AgentsPrompt EngineeringC#.NETPythonJavaScript

Soft Skills

solutioningarchitectureconsultingstakeholder management