Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Lead based in India.
This role is a senior technical leadership position focused on designing and scaling next-generation Agentic AI systems that enable autonomous reasoning, planning, and execution of complex tasks. You will be responsible for shaping the end-to-end AI architecture, including LLM-powered workflows, multi-agent systems, and enterprise-grade AI applications. The position blends deep hands-on engineering with strategic leadership, requiring you to guide teams while also contributing to critical technical decisions. You will work across Generative AI, machine learning, and cloud-native infrastructure to build scalable and production-ready AI solutions. A key aspect of the role involves integrating advanced frameworks, optimizing model performance, and ensuring robust deployment through MLOps best practices. This is a high-impact opportunity to define AI direction, drive innovation, and influence how intelligent systems are built and deployed at scale.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Lead based in India.
This role is a senior technical leadership position focused on designing and scaling next-generation Agentic AI systems that enable autonomous reasoning, planning, and execution of complex tasks. You will be responsible for shaping the end-to-end AI architecture, including LLM-powered workflows, multi-agent systems, and enterprise-grade AI applications. The position blends deep hands-on engineering with strategic leadership, requiring you to guide teams while also contributing to critical technical decisions. You will work across Generative AI, machine learning, and cloud-native infrastructure to build scalable and production-ready AI solutions. A key aspect of the role involves integrating advanced frameworks, optimizing model performance, and ensuring robust deployment through MLOps best practices. This is a high-impact opportunity to define AI direction, drive innovation, and influence how intelligent systems are built and deployed at scale.
