AI Automation QA (2 Positions)

WFO ( 5days 2 PM to 11 PM)

Exp: 8-12 years

Mandate: Automation with Copilot, Copilot Studio, Power Automate, Azure AI Services, or similar AI platforms along with Automation

Role Summary

We are seeking an AI Automation Engineer to lead AI-powered test automation and quality engineering initiatives across our Mortgage, Banking, and Digital platforms. You will leverage Copilot, the OpenAI API, and orchestration frameworks like LangChain to build intelligent agents and advanced automation setups. This role focuses on optimizing testing efficiency, eliminating manual overhead, and accelerating software delivery while maintaining exceptional quality standards.

Key Responsibilities

- AI-Driven Quality Engineering: Utilize Copilot and generative AI tools to automate test planning, synthetic data generation, test case creation, script creation and automated defect analysis.
- Agentic Automation: Design, build, and deploy self-healing AI agents using LangChain and the OpenAI API to navigate complex user interfaces and execute end-to-end business workflows.
- Framework Development: Architect and maintain scalable test automation frameworks using Java, Selenium, Playwright or Python.
- Domain Testing: Execute functional, integration, regression, and end-to-end testing for complex mortgage and banking systems.
- Data & Backend Validation: Perform robust backend validation using complex SQL queries, supporting ETL processes and data migration testing.
- CI/CD Integration: Embed automated test suites into CI/CD pipelines to support continuous testing and DevOps practices.
- Collaboration & Strategy: Partner with business and technical stakeholders to translate domain requirements into comprehensive test strategies.
- Mentorship & Innovation:



Guide team members on AI-enabled testing approaches and continuously evaluate emerging AI technologies to drive innovation.

Required Skills & Experience

- Experience: 8+ years in Software Testing, Quality Engineering, and Test Automation with Copilot, Copilot Studio, Power Automate, Azure AI Services, or similar AI platforms implementing AI-driven test generation, self-healing automation, or intelligent workflow automation.
- AI & LLM Engineering: Hands-on experience building automation solutions using the OpenAI API and orchestrating LLM workflows with LangChain.
- AI Productivity: Proficiency in using AI coding assistants like Copilot for faster framework development and test maintenance.
- Core Automation: Expertise with browser automation tools (Playwright, Selenium) and Robotic Process Automation (RPA) platforms like UiPath.
- Programming: Strong coding skills in Java or Python, with a solid grasp of object-oriented programming (OOP) principles.
- Data & Databases: Advanced SQL skills with experience verifying data pipelines, ETL processes, and relational databases.
- Cloud: Knowledge of cloud platforms such as Azure or AWS
- Domain Knowledge: Prior experience in Banking, Mortgage, or Financial Services platforms is highly desirable.

Educational Qualifications

- Bachelors degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Relevant certifications in Software Testing, AI tools will be an added advantage.

Preferred Candidate Profile

- Self-driven professional capable of working with minimal supervision.
- Robust ownership mindset with the ability to manage multiple priorities.
- Excellent stakeholder management and communication skills.
- Demonstrated ability to deliver high-quality results within tight timelines and SLA commitments.

📌 AI Automation QA (Bengaluru)
🏢 Moder Solutions
📍 Bengaluru