AI/MLEngineer

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. We are seeking a highly skilled Agentic AI Engineer to build and deploy multi-agent, goal-driven automation for document-heavy logistics workflows. The role owns the end-to-end agent lifecycle : from email/document ingestion to orchestrated workflow execution , system integrations (TMS/BL platforms), and a robust human-in-the-loop (HITL) + audit layer required for regulated shipping documentation. This is not a “model-only” ML role. You will engineer production-grade agentic workflows where agents do the work, the orchestrator decides what runs, exceptions are routed correctly, and every action is traceable. Key Responsibilities 1) Agentic Workflow Orchestration (Core) * Design and implement multi-agent architectures (classification, extraction, validation, customer follow-up, drafting, amendments, release) under a unified orchestrator that routes tasks, handles retries, manages state, and enforces guardrails. * Build case/task management for shipment documentation workflows: SLA prioritization, escalation rules, exception categories, and queue-based operations (shadow → assist → auto). * Implement con