ApplySarthi

Lead AI Engineer 4D

Genpact

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What AI roles keep asking for: Python (43%), LLMs (39%), Machine learning (25%), AWS (24%), Generative AI (24%), Observability (19%), RAG (16%), Azure (16%) — counted across their open postings here.

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Preparing for this interview

Interviews for AI roles keep coming back to Python, LLMs, Machine learning, AWS. Practise those questions before you sit with Genpact.

Questions you are likely to be asked

  1. Why do you want to join Genpact?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Lead AI Engineer 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 1. Lead and mentor a team of 5-15 AI/ML engineers, providing technical guidance, code reviews, and career development. 2. Own end-to-end delivery of AI/ML solutions from design through production, ensuring quality and on-time deployment. 3. Define technical architecture and design patterns for advanced analytics and machine learning models across assigned workstreams. 4. Drive adoption of ML best practices, frameworks, and tools across the team to improve model performance and scalability. 5. Partner with product and business stakeholders to translate requirements into technical specifications and prioritize model development roadmap. 6. Architect data pipelines and infrastructure required to support model training, validation, and real-time inference at scale. 7. Manage technical risks, performance bottlenecks, and model governance to ensure compliance and production reliability. Qualifications Bachelors - Computer Science, Bachelors - Mathematics, GED - Statistics, Masters - Artificial Intelligence, Masters - Software Engineering Certifications Deep Learning Foundations and Applications - Indian Institute of Technology, Kharagpur, Generative AI Explorer: Vertex AI - Google, IBM Machine Learning - IBM, Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale - LinkedIn Learning Required Skills Agile Methodology, AI/ML Ops, AI Agents, Amazon Web Services (AWS), Artificial Intelligence (AI), Deep Learning Algorithms, Google Cloud Platform, Machine Learning, Microsoft Azure, Natural Language Processing (NLP), PyTorch, Responsible AI, Solution Architecture, Tensorflow Language English (Required) Language Proficiency - English (OVERALL - Advanced - C1) Additional Job Location - Job Type Regular Master Skill List - AI Remote Type - Hybrid Work Shift - Day Job (United States of America) The approximate annual base compensation range for this position is: 80,000 to 100,000 USD “Los Angeles California-based candidates are not eligible for this role” The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity. Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that matter • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. 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. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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Listed on workday · posted 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Genpact, not by us.