AI Developer

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.

We are seeking an innovative and technically skilled AI Developer to design, build, deploy and maintain artificial intelligence solutions that solve real business challenges. The successful candidate will work closely with cross-functional teams to develop machine learning models, generative AI applications, automation solutions and intelligent systems that drive efficiency, enhance customer experiences and support strategic business objectives.

Key Responsibilities

AI Solution Development

• Design, develop, testand deploy AI and machine learning solutions.
• Build and maintain scalable AI applications and APIs.
• Create AI-powered chatbots, virtual assistants and intelligent automation tools.
• Integrate AI capabilities into existing products, platform sand business processes.
• Collect, cleanand prepare data for model training and evaluation.
• Develop, train, testand optimize machine learning models.
• Monitor model performance and retrain models when necessary.
• Implement MLOps practices to support model deployment and lifecycle management.
• Ensure model accuracy, reliability, scalability and security.

Software Development

• Write clean, efficient and maintainable code.
• Develop backend services, APIs and integrations supporting AI applications.
• Participate in code reviews and software development best practices.
• Troubleshoot and resolve technical issues related to AI systems.
• Stay current with advancements in AI, machine learning, automation and emerging technologies.
• Evaluate new tools, frameworks and AI platforms.
• Recommend and implement innovative solutions that create business value.
• Participate in proof-of-concepts and pilot projects.

Collaboration & Stakeholder Engagement

• Work closely with business stakeholders to understand requirements and opportunities for AI adoption.
• Translate business challenges into technical AI solutions.
• Collaborate with data engineers, software developers, product teamsand business leaders.
• Present technical concepts and solution recommendations to both technical and non-technical audiences.

Governance, Security & Compliance

• Ensure AI solutions comply with data privacy, security and regulatory requirements.
• Support responsible and ethical AI practices.
• Document AI models, development processes and technical solutions.
• Contribute to AI governance and risk management initiatives.

Technical Skills

• Strong programming skills in Python.
• Experience with AI/ML libraries such as Tensor Flow, PyTorch, Scikit-learn, Lang Chainor Hugging Face.
• Experience working with Large Language Models (LLMs) and Generative AI.
• Knowledge of prompt engineering and retrieval-augmented generation (RAG) frameworks.
• Experience with SQL and database technologies.
• Familiarity with containerisation technologies such as Docker and Kubernetes.
• Understanding of MLOps and CI/CD practices.

• Bachelor's Degree in Computer Science, Software Engineering, Data Science,…