WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

GenAI Application Development- Design and implement intelligent applications using LLMs (e.g., GPT, Codex).- Integrate with OpenAI / Azure OpenAI APIs for NLP tasks like summarization, classification, chat interfaces, etc.- Build prompt-engineering-based solutions and tune prompts for performance.- Use frameworks like LangChain, Semantic Kernel, or Haystack for chaining models, memory, and tool use.Azure Integration- Develop and deploy Python apps using Azure Functions, App Services, or Container Apps.- Utilize Azure Cognitive Services, Azure OpenAI, Azure Search, Blob Storage, and Key Vault.- Handle secure access using Managed Identities, service principals, and RBAC.- Set up and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.AI Workflow Design- Develop pipelines for document ingestion, retrieval, and response generation.- Implement token control, output parsing, and fallback strategies for LLM responses.Security & API Handling- Securely call APIs and manage secrets via Azure Key Vault.- Handle CORS, request throttling, and exception handling.- Monitor model usage, API latency, and handle quota management.• Code Quality: Maintain clean, modular Python code with 85%+ test coverage.• GenAI Integration: Deliver GenAI features (e.g., summarization, chat) with <5% functional defects.• Azure Utilization: Ensure 95% uptime and secure use of Azure services (Key Vault, Blob, Functions, etc.).• Deployment Efficiency: Complete CI/CD-based deployments with <2-day turnaround per release.• Collaboration: Active participation in Agile ceremonies and 100% ownership of assigned sprint tasks.

Preferred Experience- Building LLM-powered chatbots, document Q&A systems, or GenAI copilots.- Experience integrating Azure AI Search with OpenAI.- Working knowledge of Docker and containerized deployment.- Familiarity with Agile/Scrum methodologies.Education QualificationBachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or a related field(or equivalent practical experience in Python and AI application development)