Senior / Principal QA Automation Engineer – AI Implementations & Enterprise Solutions

Zoho; Pune District; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

LatentBridge is seeking a Senior / Principal QA Automation Engineer to own quality across AI implementations and enterprise solutions. You will drive test strategy, design scalable automation, and lead end-to-end QA for complex programs involving UI, API, and data layers.

The role requires 10–16 years of software testing with hands-on automation and strong collaboration with engineering, analytics, and product teams. Immediate to short notice.

Qualifications

• 10–16 years of software testing experience with strong hands-on automation.
• Strong experience with Selenium WebDriver and TestNG/JUnit.
• Good hands-on programming experience in Java and/or Python.
• Strong API testing and API automation experience.
• Experience with RestAssured, Postman, Swagger or similar tools.
• Strong SQL and database testing skills.
• Experience designing or enhancing automation frameworks and CI/CD integration.
• Experience testing APIs, microservices and enterprise applications.
• Familiarity with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps.
• Good Agile/Scrum delivery understanding and strong problem-solving skills.

Responsibilities

• Lead end-to-end QA activities across enterprise and AI implementation projects.
• Translate requirements into effective test strategy and coverage.
• Define regression strategies and determine automation focus areas.
• Design, build and maintain scalable automation frameworks.
• Develop API automation and perform API/microservices testing.
• Validate backend databases and perform end-to-end business flow testing.
• Integrate automated tests into CI/CD pipelines and set quality gates.
• Mentor QA engineers and communicate testing approach and risks to stakeholders.
• Collaborate with Analysts, Developers, Architects and Product teams.

Skills

Selenium WebDriver

TestNG/JUnit

Java

Python

API testing

Postman/Swagger

SQL/database testing

REST API automation

CI/CD tooling

Agile/Scrum

Tools

RestAssured

Postman

Swagger

Jenkins

GitHub Actions

Azure DevOps

Job description

Senior / Principal QA Automation Engineer – AI Implementations & Enterprise Solutions

At LatentBridge, we make digital transformation work—without the noise.

We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.

Our products—Epic AI and IntellixCore—are built for this depth.Epic AI delivers enterprise-grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.

IntellixCore is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.

We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.

In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.

What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.

Job Description

Senior / Principal QA Automation Engineer – AI Implementations & Enterprise Solutions

Experience:

10–16 Years

Notice Period:

Immediate to 30 Days Preferred

About the Role

We are looking for an experienced and hands‑on Senior / Principal QA Automation Engineer who can take ownership of quality across enterprise and AI implementation projects.

The person should be strong in test automation, API and integration testing and should be able to understand the overall solution, define the right testing approach, identify risks and drive quality through the project lifecycle.

We are looking for someone who can remain hands‑on while also guiding the QA team and working closely with engineering, business and client stakeholders.

Key Responsibilities

• Lead end‑to‑end QA activities across enterprise and AI implementation projects.
• Understand business requirements, functional flows and solution architecture and translate them into an effective test strategy.
• Define test coverage across functional, regression, integration, API, database and end‑to‑end testing.
• Design, build and maintain scalable automation frameworks using Selenium, TestNG/JUnit and Java or equivalent technologies.
• Develop and maintain API automation using RestAssured or similar frameworks.
• Perform API and microservices testing using tools such as Postman and Swagger.
• Perform backend and database validation using SQL.
• Test end‑to‑end business flows across UI, APIs, databases, AI services and downstream systems.
• Integrate automated tests into CI/CD pipelines and establish appropriate quality gates.
• Define regression strategy and identify the right areas for automation.
• Manage defects, participate in root‑cause discussions and provide clear visibility into overall product quality.
• Provide QA estimates, test plans, execution status, quality metrics and release‑readiness inputs.
• Work closely with Business Analysts, Developers, Architects, AI/Data Engineers and Product teams.
• Participate in requirement and solution discussions and identify gaps and testability concerns early.
• Mentor QA engineers and drive good automation and testing practices within the team.
• Participate in client discussions and clearly communicate testing approach, quality risks, defects and release readiness.

Required Skills

• 10–16 years of software testing experience with strong hands‑on automation experience.
• Strong experience with Selenium WebDriver and TestNG/JUnit.
• Good hands‑on programming experience in Java and/or Python.
• Strong API testing and API automation experience.
• Experience with RestAssured, Postman, Swagger or similar tools.
• Strong SQL and database testing skills.
• Experience designing, building or significantly enhancing automation frameworks.
• Experience testing APIs, microservices and integrated enterprise applications.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps or equivalent.
• Good understanding of Agile/Scrum delivery.
• Strong analytical, troubleshooting and problem‑solving skills.
• Ability to independently own QA activities for a project.
• Good communication and stakeholder management skills.
• Ability to guide and mentor other QA engineers while remaining hands‑on.

AI / GenAI Testing Experience

Hands‑on experience testing AI/GenAI‑enabled applications is preferred, including one or more of the following:

• Generative AI / LLM applications
• Retrieval‑Augmented Generation (RAG)
• AI‑powered chatbots and virtual assistants
• AI agents and workflow‑based solutions
• AI‑powered decision or recommendation solutions
• AI‑enabled APIs and enterprise integrations

Candidates with AI/GenAI testing experience should have exposure to areas such as:

• Response accuracy and relevance
• Groundedness and hallucination
• Prompt and input variations
• Evaluation datasets and expected outcomes
• Negative and edge‑case testing
• Guardrail validation
• Prompt injection and unintended behaviour
• AI service and integration failures
• Response performance and reliability

Good to Have

• Experience building automation frameworks from scratch
• Performance testing using JMeter, LoadRunner or equivalent
• Cloud‑based application testing
• Experience with AI/LLM evaluation frameworks or tools
• Experience mentoring or leading a QA team

What We Are Looking For

We are looking for someone who is still hands‑on, but can also take ownership of testing for a project.

The person should be able to understand how the solution works, identify the major quality risks, define the testing approach, decide what should be automated and drive testing through to release.

The ideal candidate will bring together strong QA fundamentals, hands‑on automation, AI/GenAI testing exposure and the maturity to lead quality across enterprise implementation projects.

BFSI or Financial Services experience would be an added advantage, but is not mandatory for this role