About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job Details Lead AI Engineer Location: Pune (Hybrid) Role Purpose Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision-making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels. Key Responsibilities - Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines) - Build scalable data pipelines and feature engineering workflows using structured and unstructured data - Integrate AI capabilities into enterprise platforms via APIs and microservices. - Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data. - Enable AI-driven use cases such as client insights, next-best-action, and automation of RM workflows. - Implement model monitoring, governance, and performance optimization aligned to enterprise standards. - Collaborate with engineering and business teams to translate wealth use cases into scalable solutions. - Experience working with wealth management data (clients, portfolios, transactions) - Understanding of data flows from core banking systems such as Avaloq - Awareness of AI governance, model risk, and regulatory considerations in banking Skills & Experience Primary: - Python (mandatory) • ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) • GenAI / LLM frameworks (LangChain, OpenAI, etc.) • AWS (S3, Lambda, SageMaker, Bedrock) Secondary: • Data engineering (ETL pipelines, feature stores) • API development • Vector databases / embeddings

• Lead the development and delivery of full-stack applications using Python and TypeScript technologies. • Design and implement AI-powered features such as LLM integrations, RAG pipelines, and AI agents. • Build, scale, and maintain APIs, backend services, and distributed systems. • Make technical decisions related to architecture, frameworks, cloud infrastructure, and AI model usage. • Ensure application performance, scalability, reliability, and security across systems. • Manage and support cloud-based environments such as AWS, Azure, or GCP. • Collaborate with product, design, and engineering teams to deliver innovative solutions. • Mentor developers and promote engineering best practices, code quality, and technical excellence. • Guide the team in using AI tools and modern workflows to improve productivity and delivery speed. • Troubleshoot complex technical issues and drive continuous improvement initiatives.

• Develop and maintain full-stack web applications using Python and TypeScript frameworks. • Build and integrate AI-powered features such as LLMs, RAG pipelines, and AI agents. • Design, develop, and maintain APIs and backend services. • Integrate AI APIs and third-party services into production systems. • Collaborate with product and design teams to deliver new features and enhancements. • Transform prototypes and concepts into scalable, production-ready solutions. • Ensure application performance, scalability, security, and clean architecture practices. • Utilize AI tools and modern development workflows to improve productivity and delivery speed. • Troubleshoot, debug, and optimize applications across frontend and backend environments. • Contribute to continuous improvement of development processes and technical standards.

• Lead technical design discussions to build and operate elastic, secure microservices using AWS serverless architectures (Lambda, API Gateway). • Design and maintain robust Machine Learning and Data Analytics pipelines, utilizing Apache Kafka or similar technologies for real-time data ingestion and transformation. • Develop REST and GraphQL services designed to interface with massive datasets, providing the backend power for a rich, data-heavy visual user interface. • Work within an Agile team to take features from initial design through to production deployment, monitoring, and iterative improvement. • Evangelize and implement best practices for code health, testing stability, maintainability, and overall system quality. • Partner with product and architecture teams to influence product direction and translate complex security requirements into reliable software solutions.