About the Client :
A leading global IT services and technology distribution company.
Role : Artificial Intelligence - Centre of Excellence Lead (AI COE Lead)
Location : Chennai
Role Summary :
The AI Lead will champion the enterprise-wide adoption and strategic deployment of Artificial Intelligence, with a strong emphasis on Generative AI and scalable LLMOps . This is a critical leadership role responsible for translating complex business challenges into high-impact, production-ready AI / ML solutions. You will be instrumental in building a robust AI innovation pipeline, leading a high-performing technical team, and defining the architecture required for secure, ethical, and performant AI systems that drive significant business transformation and efficiency.
Responsibilities & Deliverables
1. Generative AI Strategy & Architecture
- Establish and Own the Generative AI Stack : Architect and implement a complete Generative AI ecosystem, encompassing fine-tuned Large Language Models (LLMs), domain-specific knowledge graphs, and Retrieval-Augmented Generation (RAG) systems.
- LLM Development and Optimization : Lead the development, training, and fine-tuning of proprietary LLMs using advanced techniques to ensure relevance and accuracy for business operations.
- Data Foundation : Design and enforce an enterprise-level data architecture and data governance strategy (clean, complete, and accessible data) essential for fueling advanced AI / ML and analytics.
2. MLOps & Production Scaling
Scalable AI Infrastructure : Direct the implementation of LLMOps and robust MLOps practices to achieve seamless, automated deployment, monitoring, and versioning of all AI / ML models across enterprise systems.Performance Engineering : Optimize inference pipelines and AI model efficiency using frameworks like ONNX and DeepSpeed to ensure low-latency, high-throughput performance in production.System Integration : Ensure secure and resilient integration of AI services and APIs with core business applications and existing infrastructure.3. Team Leadership & Business Impact
Technical Leadership : Recruit, mentor, and lead a diverse team of Data Scientists, AI Engineers, and MLOps Professionals , fostering a culture of technical excellence, accountability, and continuous learning.Business Automation : Identify and execute AI-powered automation initiatives that result in measurable improvements in operational efficiency, workflow simplification, and enhanced business decision-making.Ethical AI & Compliance : Define and uphold standards for AI Ethics, bias mitigation , and regulatory compliance in all AI solution designs and deployments.Required Skills & Qualifications
Educational Background
Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.Essential Technical Expertise
Extensive experience in leading and shipping enterprise-scale AI / ML products.Deep, demonstrable expertise in Generative AI, LLMs, and RAG systems .Hands-on, production-level experience with MLOps and LLMOps practices (e.g., orchestration, CI / CD for ML, monitoring).Expert proficiency in major AI / ML frameworks : PyTorch, TensorFlow , and optimization frameworks like ONNX or DeepSpeed .Proven experience in NLP, Computer Vision, or time-series AI solutions .Strong background in cloud-native AI development and services (e.g., AWS SageMaker, Azure ML, Google AI Platform) is a significant advantage.Leadership & Soft Skills
Demonstrated ability to communicate complex AI concepts and strategies to both technical teams and non-technical Senior Leadership / Stakeholders .Proven track record of driving tangible business impact through deployed AI solutions.Exceptional team leadership, mentorship, and project management capabilities.