Want to know if this job is worth applying to?
RIB India, Pune, India
Onsite
Driven by transformative digital technologies and trends, we are RIB and we’ve made it our purpose to propel the industry forward and make engineering and construction more efficient and sustainable. Built on deep industry expertise and best practice, and with our people at the heart of everything we do, we deliver the world's leading end-to-end lifecycle solutions that empower our industry to build better.
With a steadfast commitment to innovation and a keen eye on the future, RIB comprises over 2,500 talented individuals who extend our software’s reach to over 100 countries worldwide. We are experienced experts and professionals from different cultures and backgrounds and we collaborate closely to provide transformative software products, innovative thinking and professional services to our global market. Our strong teams across the globe enable sustainable product investment and enhancements, to keep our clients at the cutting-edge of engineering, infrastructure and construction technology.
We know our people are our success – join us to be part of a global force that uses innovation to enhance the way the world builds.
Find out more at RIB Careers.
Job Title: QE Lead - AI & Analytics
Location: Pune / Nashik, India
Experience Required: 8+ Years
Employment Type: full-time
As a QE Lead – AI & Analytics, you will define and lead the quality strategy for AI-driven and analytics platforms, ensuring trust, reliability, and measurable value for customers. You’ll work closely with data scientists, AI engineers, product managers, and platform teams to validate complex AI systems such as RAG pipelines, ML models, and analytics workflows. This role is critical in shaping how we test, observe, and continuously improve AI systems in production, while mentoring teams and setting modern QE standards.
Own and define the QA strategy for AI and Analytics solutions, including ML models, RAG pipelines, and data-driven systems.
Design and execute testing approaches for AI systems, covering functional, non-functional, bias, robustness, and reliability aspects.
Establish observability, evaluation, and monitoring practices for AI quality in pre-production and production environments.
Lead and contribute to test automation frameworks for AI, APIs, data pipelines, and analytics workflows.
Collaborate with cross-functional teams to embed quality early in the AI development lifecycle.
Proven experience in quality engineering with exposure to AI/ML-based applications and analytics platforms.
Hands-on experience testing AI systems such as RAG, LLM-based applications, or predictive models.
Strong understanding of manual and automated testing approaches for APIs, data pipelines, and distributed systems.
Experience with AI evaluation techniques, metrics, and validation strategies (accuracy, relevance, drift, hallucination, etc.).
Ability to define QA standards, mentor engineers, and influence quality practices across teams.
Strong technical curiosity and learning mindset, with a passion for emerging AI technologies (Curiosity, Aspiration).
Ability to create measurable impact by improving AI reliability, trust, and customer outcomes (Impact).
Experience with observability tools, logging, metrics, and monitoring for AI/ML systems.
Excellent communication and collaboration skills, building trusted relationships across engineering, data, and product teams (Trust).
RIB may require all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.
RIB is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.
Come and join RIB to create the transformative technology that enables our customers to build a better world.
