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Genpact Ltd. is seeking a Solution Architect - Data and Analytics to lead the design of AI and data solutions for global enterprises in a fast-moving, innovation-driven environment.
You will shape use cases, define ML solution architectures, and oversee MLOps lifecycles across cloud and edge deployments. The role requires strong foundations in data science, data management, and enterprise architecture, with hands-on experience in BI, big data, cloud computing, and governance.
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.
Work with business and plant experts to shape and prioritise use cases such as predictive quality, yield and process optimisation, anomaly detection, predictive maintenance and forecasting. Define the ML solution architecture: data and feature pipelines, training, evaluation, deployment (batch and real time, cloud and edge) and integration with product APIs. Where appropriate, define generative-AI patterns (for example retrieval over technical documents) with clear guardrails and evaluation.
Define the MLOps approach: experiment tracking, model registry, CI/CD for models, automated retraining, monitoring for drift and data-quality issues, and rollback. Set model evaluation standards (accuracy, robustness, bias, explainability) and acceptance thresholds agreed with the business. Estimate and manage compute, storage and run cost; design for scalability and reliability.
Master Skill List - Data and Analytics - Solutioning
Remote Type - Hybrid
Work Shift - Day Job (Mexico)
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.
Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.