Company Description Icertis is an AI-native contract intelligence company that helps enterprises turn strategy into faster, scalable execution. Powered by Vera, the Icertis platform provides an enterprise-wide contract intelligence layer that understands business and industry context.

It connects agreements, data, and systems to enable autonomous contracting and smarter decision-making. Team members work with cutting-edge AI technologies that shape how global organizations manage contracts and drive operational efficiency.

Role Description This is a full-time, on-site AI Architect QA Engineering role based in Pune City. The AI Architect QA Engineer collaborates with product, engineering, and data science teams to design and validate AI-driven architectures within the contract intelligence platform.

Daily responsibilities include defining test strategies for AI and ML components, reviewing architectural designs for quality and scalability, and creating comprehensive test plans and automation frameworks to ensure reliability and performance. The role involves integrating QA practices into software development workflows, analyzing system behavior across environments, and troubleshooting complex issues related to architecture, integration, and data flows.



The AI Architect QA Engineer also contributes to continuous improvement of QA standards, documentation, and best practices for AI-centric solutions.

Qualifications

- Strong foundation in Architecture and Architectural Design for scalable, secure, and resilient enterprise systems.
- Experience in Software Development and Integration, including working with APIs, microservices, and cloud-native applications.
- Proven skills in Project Management, with the ability to plan, prioritize, and coordinate QA activities across multiple teams.
- Hands-on experience with QA engineering for AI/ML systems, including test design, validation of models, and data quality checks.
- Proficiency with test automation frameworks, scripting languages (e.g., Python, Java), and CI/CD pipelines.
- Knowledge of cloud platforms (such as Azure, AWS, or GCP) and distributed application architectures.
- Robust analytical, problem-solving, and communication skills, with attention to detail and documentation quality.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

📌 AI Architect QA engineering (Pune)
🏢 Icertis
📍 Pune