Join Capgemini and empower yourself to shape your career within a supportive global community dedicated to reimagining what's possible. You will be instrumental in helping leading organizations leverage technology to build a more sustainable and inclusive world.

This role focuses on driving Quality Engineering (QE) solutions for pre-sales activities, including RFPs, RFIs, and proposals. You will act as the central point of contact for testing solution design across various service areas and define comprehensive QE strategies, operating models, and delivery approaches. Collaboration with sales, bid, and delivery teams is key to creating commercially viable testing solutions. You will also champion AI-led QE transformation initiatives, engage directly with clients, and develop reusable QE assets.

Lead Quality Engineering solution development for RFPs, RFIs, proposals, renewals, and assessments. Serve as the primary contact for testing solution design across Application Development, Maintenance, and Managed Testing Services. Define end-to-end QE strategies, operating models, effort estimations, and delivery frameworks. Collaborate closely with sales, bid managers, pursuit teams, solution architects, and delivery leads. Develop commercially sound testing solutions tailored to client needs. Drive initiatives for AI-led Quality Engineering transformation. Participate in client discussions, proposal defenses, and solution presentations. Create and maintain reusable QE assets, accelerators, and best practices.

A minimum of 7 to 12 years of experience in Quality Engineering, Test Architecture, Solutioning, or Pre-Sales is required, with a proven track record in RFP/RFI responses, proposals, renewals, and assessment solutioning.

Expertise in Quality Engineering methodologies, testing best practices, and test transformation programs is essential. A strong understanding of Functional, Automation, Performance, and Managed Testing Services is also expected. Experience in effort estimation, resource planning, and solution costing is necessary.

Familiarity with various commercial models such as T&M, Fixed Price, Managed Services, and Outcome-Based engagements is important. Experience in large-scale enterprise transformation programs and strong customer-facing, consulting, and stakeholder management skills are highly valued.

Exceptional presentation, communication, and proposal-writing capabilities are a must. Specific experience in leveraging AI for QE/testing solutions, including AI-enabled approaches and accelerators, and designing AI-in-Testing solutions with AI as a core component is a significant advantage.