Principal AI Quality Engineer
RIB Software
- Location
- Onsite (pune, Maharashtra)
- Employment
- Full-time
- Level
- Senior Level
About the role
RIB Software is a global leader in construction and engineering technology, empowering the industry to build more efficiently and sustainably. The Principal AI Quality Engineer role drives the technical implementation of AI-enabled quality engineering practices, developing reusable assets and workflows to enhance software quality and release confidence across the product portfolio.
Skills
Full job details
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: Principal AI Quality Engineer
Location: Pune, India
Employment Type: Full-time
Years of Experience: 7+
The job
The role focuses on the technical implementation of AI within the Quality Engineering lifecycle by developing reusable AI assets, integrating AI capabilities into testing workflows, implementing AI-assisted automation and enabling quality engineering teams to adopt practical AI solutions that improve software quality, release confidence and engineering productivity.
Working closely with Product QE Leads, the role provides technical expertise to implement consistent AI-enabled Quality Engineering practices across products.
Key responsibilities
- Implement the QE & AI Transformation roadmap across the product portfolio.
- Conduct QE and AI maturity assessments and provide technical recommendations for improvement.
- Develop and maintain AI-enabled QE standards, playbooks, templates and reusable assets.
- Design and implement AI-assisted workflows across the QE lifecycle.
- Coach engineering teams on the effective use of AI-enabled Quality Engineering practices.
Essential requirements
- Extensive experience in Quality Engineering, test automation, and modern software delivery practices.
- Strong understanding of automation frameworks, CI/CD, risk-based testing, and Quality Engineering best practices.
- Practical experience implementing AI-enabled Quality Engineering solutions and integrating AI tools into software engineering or Quality Engineering workflows.
- Experience developing reusable Quality Engineering standards, frameworks, and AI-enabled engineering assets.
- Strong analytical, problem-solving, stakeholder management, and communication skills, with the ability to influence technical teams and stakeholders.
Desired skills and competencies
Technical Skills
- Quality Engineering & AI Engineering – Quality Engineering, test automation, automation frameworks, CI/CD, risk-based testing, quality governance, and modern software delivery practices.
- AI-enabled Quality Engineering – AI-enabled testing, AI-assisted workflows, reusable AI skills & templates, prompt libraries, and AI-assisted automation.
- AI Tools & Integrations – AI tools, Model Context Protocol (MCP), AI integrations with testing tools, and AI coding assistants such as Claude Code, GitHub Copilot, or similar AI development tools.
- AI Evaluation & Standards – AI evaluation, responsible AI principles, testing standards, reusable frameworks, engineering assets, and AI-enabled QE standards and playbooks.
Competencies
- Strong analytical and problem-solving skills.
- Strong stakeholder management and communication skills.
- Ability to communicate effectively with engineers, architects, product leaders, and senior executives.
- Strong documentation, facilitation, presentation, and technical leadership skills.
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.