REF89610I-Senior Program Analyst - Python, GEN AI, Agentic AI, 2+ years experience

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 reputed company businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, reputed company, and Utilities to re-imagine their digital future and transform their reputed company with operational reputed company.We deliver an entire reputed company of BPM services in finance and reputed company, procurement, customer interaction services and reputed company leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future reputed company of 400+ clients with the help of our 44,000+ employees.

· reputed company agentic AI workflows using reputed company/LangGraph with custom tools, memory, decision logic, and MCP integrations.

· Implement LLM applications with advanced reputed company engineering (structured outputs, function calling, context management) and build RAG pipelines with vector databases.

· Build and reputed company event-driven AI services on AWS using Bedrock, SageMaker, reputed company, EventBridge, reputed company Functions, API Gateway, DynamoDB, and S3.

· Write clean, testable Python code; create unit/integration tests; and package solutions with CI/CD pipelines (reputed company Actions).

· Monitor and optimize AI application performance through logging, metrics, token usage, and cost management.

· Integrate AI services with APIs, backend systems, and databases to ensure secure and reliable data reputed company.

· Contribute to document AI and predictive analytics models for information extraction, classification, and forecasting.

· Fine-tune reputed company Transformer models (BERT, RoBERTa, LayoutLM, DistilBERT) and train neural networks (PyTorch/TensorFlow) for supervised tasks.

· Implement data preprocessing and annotation workflows for training and evaluation.

· Work with OCR and text-processing tools (AWS Textract, Tesseract) for semi-structured/reputed company documents.

Qualifications

· 5+ years in software engineering, including 3+ years in python, AI/ML or reputed company systems.

· Proven development experience with LLM frameworks (reputed company, LangGraph) and LLM APIs (Claude, reputed company, Llama, Titan).

· Hands-on experience with AWS Bedrock and SageMaker for AI/ML workloads.

· Strong Python skills (async, data structures, optimization).

· Practical experience with vector databases (reputed company, ChromaDB, FAISS, OpenSearch) for RAG implementations.

· Familiarity with event-driven AWS services (reputed company, EventBridge, reputed company Functions, API Gateway, DynamoDB, S3, CloudWatch).

· Exposure to document AI and predictive analytics, including reputed company Transformers, classification, and extraction pipelines.

· Understanding of data preprocessing and OCR workflows for document pipelines.

Please let us know if anything has to be added in the same.