Job
Description
Role Overview: You will be responsible for designing and implementing scalable data systems focusing on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. Your role will involve collaborating with data scientists, engineers, and business stakeholders to deliver innovative solutions aligned with enterprise objectives. Key Responsibilities: - Design and implement enterprise-grade data architectures. - Lead initiatives related to data modeling, governance, metadata management, data lineage, and master data management. - Develop scalable data solutions to facilitate real-time inference and autonomous agent systems. - Architect and deploy end-to-end pipelines to support AI/ML workloads, including data ingestion, feature engineering, and model lifecycle management. - Work closely with AI research and product teams to operationalize GenAI models and integrate them into business workflows. - Implement and scale retrieval-augmented generation (RAG) and fine-tuning frameworks in production environments, as well as knowledge graphs. - Design data platforms to support multi-agent systems, ensuring seamless orchestration, communication, and memory management among agents. - Architect data flow and backend systems to support agentic workflows such as task decomposition, context switching, and reinforcement feedback loops alongside knowledge graphs. - Utilize frameworks like LangChain, Langgraph, AutoGen, CrewAI, or similar tools to build and manage autonomous and collaborative agents. - Demonstrate expertise in feedback loop design and development for multi-agent or agentic frameworks. Qualification Required: - Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Proven track record of working with Generative AI models, LLMs (e.g., GPT, Claude, LLaMA), and orchestration frameworks (LangChain, LlamaIndex, Langgraph). - Familiarity with multi-agent frameworks (e.g., CrewAI, AutoGen, ReAct, CAMEL) and agentic AI design principles. - Strong understanding of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.). - Excellent communication, leadership, and stakeholder management skills. Additional Details of the Company: Xoriant is a leading provider of digital engineering services, specializing in building and operating complex platforms and products at scale. With over three decades of experience in software engineering, Xoriant blends modern technology skills in Data & AI (GenAI), cloud & security, domain, and process consulting to address intricate technology challenges. Xoriant serves over 100 Fortune 500 companies and tech startups, aiming to support their growth journey. Xoriant offers an inclusive workspace where imagination turns into reality every day, contributing to a better future through tech & innovation as part of a passionate team, making a positive impact in the community, supporting career growth, prioritizing well-being, valuing work with meaningful rewards and recognitions, celebrating diversity, inclusivity, and togetherness, connecting directly with leaders, and fostering a culture of ideation and engineering. If you believe you have the XFactor, Xoriant has a chair dedicated to your name. Apply now to be a part of Xoriant's journey. Visit www.xoriant.com for more information.,