Senior Manager - AI/ML Solutions & Architecture

About the job

As a Senior Manager - AI/ML Solutions & Architecture at Wipro Limited, you will play a crucial role in designing and delivering advanced AI-driven solutions. Your deep technical expertise and architectural leadership will be instrumental in driving innovation across teams and projects. • Role Overview: You will be responsible for architecting, designing, and implementing scalable AI/ML solutions using technologies such as Deep Learning, Generative AI, and Large/Small Language Models (LLMs/SLMs). Additionally, you will work on building and optimizing intelligent backend systems that integrate AI/ML capabilities with modern cloud and distributed platforms. Your role will also involve developing and deploying advanced solutions using technologies like RAG, Graph RAG, LangChain, and vector databases. It will be your responsibility to drive data strategy, ensuring efficient data management, processing, and retrieval to support AI workloads. Collaborating with cross-functional teams to define architecture, standards, and technical roadmaps will also be a key aspect of your role. Furthermore, you will mentor and guide engineering teams to ensure adherence to best practices in AI system design, coding, and performance optimization. Staying updated on AI and ML research trends and applying emerging technologies to enhance business value and solution performance will be crucial. Lastly, you will be responsible for ensuring end-to-end solution quality, scalability, and maintainability. • Key Responsibilities: - Architect, design, and implement scalable AI/ML solutions using Deep Learning, Generative AI, and Large/Small Language Models (LLMs/SLMs). - Build and optimize intelligent backend systems integrating AI/ML capabilities with modern cloud and distributed platforms. - Develop and deploy advanced solutions using RAG, Graph RAG, LangChain, and vector databases. - Drive data strategy and ensure efficient data management, processing, and retrieval to support AI workloads. - Collaborate with cross-functional teams to define architecture, standards, and technical roadmaps. - Mentor and guide engineering teams, ensuring adherence to best practices in AI system design, coding, and performance optimization. - Stay at the forefront of AI and ML research trends, applying emerging technologies to enhance business value and solution performance. - Ensure end-to-end solution quality, scalability, and maintainability.