Tech Lead - Testing & Quality Assurance P

Ready to turn bold ideas into real-world impact?

At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

Responsibilities

• Identify and manage project deliverables.
• Lead the design, optimization, and standardization of annotation process and prompts across multiple AI use cases.
• Collaborate with the AI team to define and govern annotation schemas, taxonomies, and evaluation rubrics.
• Review complex or high-risk AI outputs and provide authoritative quality judgments.
• Ensure consistency, accuracy, and auditability of annotation and evaluation results.
• Define reusable prompt frameworks and best practices aligned with business and compliance objectives.
• Evaluate prompt performance at scale and guide improvements based on data-driven insights.
• Establish quality benchmarks, calibration processes, and escalation protocols.
• Identify bias, hallucinations, and systemic risks in AI outputs and recommend mitigation strategies.
• Support AI governance, compliance, and responsible AI initiatives.
• Participate in calibration sessions to align on annotation standards and evaluation criteria.
• Contribute to calibration sessions and help align annotation quality across the team.
• Work closely with AI team data scientists, content reviewers, and product teams.
• Drive process and delivery improvement by learning new delivery methodologies, AI modeling, and approach to data annotation, through continuous learning and personal development.
• Mentor and coach junior and intermediate annotators / prompt engineers.