Ready to build the future with AI At Genpact we don t just keep up with technology we set the pace AI and digital innovation are redefining industries and we re leading the charge Genpact s our industry-first accelerator is an example of how we re scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale From large-scale models to 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 advanced technology services and solutions company that delivers lasting value for leading enterprises globally Through our deep business knowledge operational excellence and cutting-edge solutions - we help companies across industries get ahead and stay ahead Powered by curiosity courage and innovation our teams implement data technology and AI to create tomorrow today Get to know us at and on and Inviting applications for the role of Senior Manager AI Senior Engineer - Agentic AI In this role you ll be part of Genpact s transformation under GenpactNext as we lead the shift to Agentic AI Solutions domain-specific autonomous systems that redefine how we deliver value to clients You ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting with more Agentic AI products set to expand across service lines In this role you ll be leveraging Azure s advanced AI capabilities or AWS Advance Ai capability including Azure Machine Learning Azure OpenAI PrompFlow Azure Cognitive Search Azure AI Document Intelligence AWS Sage Maker AWS Bedrocks to deliver scalable and efficient solutions You will also ensure seamless integration into enterprise workflows and operationalize models with robust monitoring and optimization Responsibilities AI Orchestration - Design and manage AI Orchestration flow using tools such as Prompt Flow Or LangChain Continuously evaluate and refine models to ensure optimal accuracy latency and robustness in production Document AI and Data Extraction Build AI-driven workflows for extracting structured and unstructured data fromLearning receipts reports and other documents using Azure AI Document Intelligence and Azure Cognitive Services RAG Systems - Design and implement retrieval-augmented generation RAG systems using vector embeddings and LLMs for intelligent and efficient document retrieval Optimize RAG workflows for large datasets and low-latency operations Monitoring and Optimization - Implement advanced monitoring systems using Azure Monitor Application Insights and Log Analytics to track model performance and system health Continuously evaluate and refine models and workflows to meet enterprise-grade SLAs for performance and reliability Collaboration and Documentation - Collaborate with data engineers software developers and DevOps teams to deliver robust and scalable AI-driven solutions Document best practices workflows and troubleshooting guides for knowledge sharing and scalability Qualifications we seek in you Minimum Qualifications Proven experience with Machine Learning Azure OpenAI PrompFlow Azure Cognitive Search Azure AI Document Intelligence AWS Bedrock SageMaker Proficiency in building and optimizing RAG systems for document retrieval and comparison Strong understanding of AI ML concepts including natural language processing NLP embeddings model fine-tuning and evaluation Experience in applying machine learning algorithms and techniques to solve complex problems in real-world applications Familiarity with state-of-the-art LLM architectures and their practical implementation in production environments Expertise in designing and managing Prompt Flow pipelines for task-specific customization of LLM outputs Hands-on experience in training LLMs and evaluating their performance using appropriate metrics for accuracy latency and robustness Proven ability to iteratively refine models to meet specific business needs and optimize them for production environments Knowledge of ethical AI practices and responsible AI frameworks Experience with CI CD pipelines using Azure DevOps or equivalent tools Familiarity with containerized environments managed through Docker and Kubernetes Knowledge of Azure Key Vault Managed Identities and Azure Active Directory AAD for secure authentication Experience with PyTorch or TensorFlow Proven track record of developing and deploying Azure-based AI solutions for large-scale enterprise-grade environments Strong analytical and problem-solving skills with a results-driven approach to building scalable and secure systems Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career Gain hands-on experience world-class training mentorship and AI certifications to advance your skills Grow with the best - Learn from top engineers data scientists and AI experts in a dynamic fast-moving workplace Committed to ethical AI - Work in an environment where governance transparency and security are at the core of everything we build 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 Chance 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