AI COE Lead

Role Overview: You will be the Artificial Intelligence - Centre of Excellence Lead at a leading global IT services and technology distribution company in Chennai. As the AI Lead, your primary responsibility will be to drive the enterprise-wide adoption and strategic deployment of Artificial Intelligence, focusing on Generative AI and scalable LLMOps. This crucial leadership role involves translating complex business challenges into high-impact AI/ML solutions, building an AI innovation pipeline, leading a technical team, and defining the architecture for secure and efficient AI systems that facilitate significant business transformation. Key Responsibilities: - Establish and own the Generative AI Stack, including fine-tuned Large Language Models (LLMs), domain-specific knowledge graphs, and Retrieval-Augmented Generation (RAG) systems. - Lead the development, training, and optimization of proprietary LLMs to ensure relevance and accuracy for business operations. - Design and enforce an enterprise-level data architecture and data governance strategy to support advanced AI/ML and analytics. - Direct the implementation of LLMOps and MLOps practices for seamless deployment, monitoring, and versioning of AI/ML models. - Optimize inference pipelines and AI model efficiency to ensure high-performance in production using frameworks like ONNX and DeepSpeed. - Ensure secure and resilient integration of AI services and APIs with core business applications and infrastructure. - Recruit, mentor, and lead a diverse team of Data Scientists, AI Engineers, and MLOps Professionals to drive technical excellence. - Identify and execute AI-powered automation initiatives to enhance operational efficiency and business decision-making. - Define and uphold standards for AI Ethics, bias mitigation, and regulatory compliance in AI solution designs and deployments. Qualifications Required: - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field. - Extensive experience in leading and shipping enterprise-scale AI/ML products. - Deep expertise in Generative AI, LLMs, RAG systems, and MLOps practices. - Proficiency in AI/ML frameworks like PyTorch, TensorFlow, and optimization frameworks such as ONNX or DeepSpeed. - Experience in NLP, Computer Vision, or time-series AI solutions. - Background in cloud-native AI development and services like AWS SageMaker, Azure ML, Google AI Platform is advantageous. - Excellent communication skills to convey complex AI concepts to technical and non-technical stakeholders. - Proven track record of driving business impact through AI solutions and strong leadership and project management abilities.,