AI Product Architect

3 weeks ago

Gurugram, India WNS Full time

Company Description
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.

Job Description

  • Must be able to design and implement AI/ML-driven product architecture aligned with enterprise-scale requirements and product objectives.2. Must be able to collaborate with different stakeholders to translate AI requirements into robust technical architecture and define validation protocols, evaluation metrics, and success criteria for AI components.3. Must be able to support the AI research and innovation roadmap by suggesting emerging technologies and maintaining a forward-looking AI stack for the AI components.4. Must be able to contribute to internal and external thought leadership initiatives, including whitepapers, blogs, and documentation that promote AI maturity and innovation across the organization.5. Must have the ability to assess and prioritize AI components by aligning market research insights with evolving business needs and strategic product goals.6. Must have strong applied experience across NLP, computer vision, speech analytics, reinforcement learning, LLMs, SLMs, Agentic AI, etc with the ability to align technical depth with real-world product use cases

Qualifications

  • Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, or a related technical field. Master in Business Administration is an added advantage years of experience in AI/ML roles, including at least 5+ years working on or supporting AI-based products.

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