Solution Architect - Data and Analytics 3

Solution Architect - Data and Analytics 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 .

Responsibilities:   Guide the dev team on GenAI components.   Design and develop GenAI solution in different cloud platform    Design production-grade AI solutions such as intelligent document processing, automated content generation, enterprise search assistants, and multi-agent decision-support systems   Implement RAG, prompt engineering, fine-tuning, and orchestration techniques to build accurate and reliable AI systems   Integrate agentic components into enterprise applications with monitoring, observability, human-in-the-loop flows, and feedback loops   Review code and maintain technical quality across the team.   Unblock devs when they face technical issues or defects.   Work with all teams integrated with Data Agent and understand how each connection works.   Help shape the integration workflow, discuss options, and finalize the approach.   Strong hands-on experience in Azure services used in the project.   Good understanding of GenAI-related components.   Ability to review code and guide developers.   Solid experience with system integrations and workflows.   Strong problem-solving mindset.

Bachelor's degree in computer science, Information Technology, or a related field   Proven experience working with Microsoft Azure solutions   Experience designing and implementing cloud solutions and enterprise web applications   Strong understanding of cloud native architecture principles, networking, security, and database concepts   Excellent communication and collaboration skills   Ability to work in a dynamic environment and handle multiple projects   Development and deployment of GenAI Solution [ Mandatory ]   Preferred Qualifications   Hands-on experience with GenAI frameworks (Lang Chain, Lang Graph, AutoGen, crew AI, OpenAI Agent SDK)   Proficiency in Python for AI/ML development   Experience designing and implementing cloud solutions and enterprise web applications   Strong understanding of cloud native architecture principles, networking, security, and database concepts   Experience in the consulting industry, technical leadership, or sales support   In-depth experience architecting complex Azure public/private cloud platform solutions (PaaS, SaaS, IaaS)   Experience with modern architecture techniques (e.g., event-driven architectures, stream processing, event sourcing/CQRS)   Familiarity with containerization and PaaS tools (e.g., Kubernetes, Docker Enterprise, Azure Stack)   Experience with Infrastructure as Code ( IaC ) and automation tools   Strong client management and professional presence   Experience as an Azure Cloud Solutions