V-Technical Architect (GenAI)

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

Job Title: Generative AI Technical Architect

Job Summary

We are seeking an accomplished Generative AI Technical Architect to lead the design and development of cutting-edge AI solutions across our organization. The ideal candidate has a minimum of 8 years of experience in relevant technical roles, with strong Python programming skills and a deep background in AI/ML (especially in generative AI). In this role, you will combine technical expertise and creative problem-solving to architect innovative applications powered by Large Language Models (LLMs) and advanced generative techniques. You will work closely with cross-functional teams, applying system design thinking methodologies to ensure our AI solutions are user-centric and impactful. This is a hands-on leadership position: you will guide and mentor an engineering team while still actively contributing to development and architecture.

Key Responsibilities

• Architect and Develop Generative AI Solutions: Design and implement the technical architecture for applications that leverage generative AI and LLMs, ensuring scalability, performance, and security.
• LLM Integration: Integrate Large Language Models into new and existing products (e.g. conversational agents, intelligent assistants, content generation tools), and develop end-to-end applications that harness LLM capabilities.
• Advanced AI Techniques: Explore and implement advanced generative AI approaches such as Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval, building agentic AI systems that can reason and act autonomously, and fine-tuning foundation models for specific use cases.
• Hands-on Leadership: Lead and mentor a team of AI engineers and data scientists, providing technical guidance and code reviews, while remaining hands-on with programming (primarily in Python) and system design.
• Cross-Functional Collaboration: Work closely with product managers, designers, and stakeholders to identify opportunities for AI innovation. Apply design thinking principles to iterate on solutions that effectively meet user needs and business goals.
• Proof of Concept & Innovation: Conduct proofs-of-concept and rapid prototyping with emerging AI technologies and frameworks to evaluate their potential value. Stay up-to-date with the latest research and integrate promising techniques into the AI roadmap.
• Standards and Best Practices: Establish and enforce best practices for AI solution development, including coding standards, model evaluation, MLOps (CI/CD for ML), and documentation of architecture and algorithms.
• Stakeholder Communication: Communicate complex AI architectures and concepts in clear terms to executive leadership and non-technical stakeholders. Champion the adoption of generative AI solutions by demonstrating their value and aligning them with business strategy.

Required Qualifications

• Experience: 8+ years of hands-on experience in software engineering, machine learning, or related technical roles, including significant experience architecting and building AI-driven solutions.
• Python Proficiency: Expert-level programming skills in Python, with the ability to write clean, efficient code and build prototypes as well as production-grade systems.
• AI/ML Background: Strong foundation in artificial intelligence and machine learning algorithms, with proven experience in generative AI (e.g., natural language processing, generative models, transformers).
• LLM Expertise: Demonstrated expertise in working with Large Language Models (LLMs) and integrating them into applications. Experience developing applications or services that utilize LLM APIs or frameworks (such as GPT-based models) for real-world use cases.
• Generative Techniques: Hands-on experience with advanced generative AI techniques – for example, implementing Retrieval-Augmented Generation (RAG) pipelines, developing agent-based AI solutions (CrewAI, Langgraph, Autogen etc), and fine-tuning pre-trained models to adapt them to domain-specific tasks.
• Design Thinking: Experience applying design thinking or human-centered design methodologies to technology projects. Ability to empathize with end-users, define pain points, and iterate AI solutions that are intuitive and impactful.
• Leadership & Collaboration: Proven ability to lead and mentor technical teams or projects while remaining deeply involved in development. Excellent teamwork skills and the capacity to work effectively with cross-functional teams.
• Communication Skills: Outstanding communication and interpersonal skills. Comfortable presenting ideas, architectural designs, and complex technical concepts to both technical and non-technical audiences.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s or PhD preferred, or equivalent practical experience).

Preferred Qualifications

• Domain Expertise: Deep domain knowledge in one or more industries (e.g., finance, healthcare, e-commerce, etc.) and insight into how generative AI can address industry-specific challenges.
• Advanced Degree: A Master’s or PhD in Artificial Intelligence, Computer Science, Data Science, or a related discipline.
• Cloud & MLOps: Experience deploying AI/ML solutions on cloud platforms (AWS, Google Cloud, Azure) and familiarity with MLOps tools/practices for model deployment, scaling, and monitoring.
• Research & Innovation: Publications, research contributions, or open-source projects in the AI/ML domain. Active participation in the AI community and staying current with the latest advancements.
• Consulting/Client Experience: Experience in a consulting role or working directly with clients to deliver AI solutions (demonstrating the ability to translate business requirements into technical solutions) is a plus.

What We Offer

• Impactful Work: An opportunity to lead innovative AI initiatives and shape the future of generative AI products that will be used across diverse industries and use-cases. Your work will have a broad and meaningful impact.
• Cutting-Edge Environment: Access to state-of-the-art tools and resources, and a culture that encourages experimentation with new technologies. We foster continuous learning through conferences, training, and mentorship from experts.
• Collaborative Team: A dynamic, inclusive, and collaborative culture with cross-functional teams of talented individuals. We value diversity of thought and encourage open idea-sharing and teamwork in solving challenging problems.
• Competitive Compensation: A competitive salary with performance-based bonuses, along with a comprehensive benefits package (health insurance, retirement plans, paid time off, etc.).
• Flexible Work Arrangements: Flexible remote work options and working hours to promote work-life balance. We trust our team to deliver results and provide the autonomy needed to innovate.

Qualifications

Any Graduate