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.

Remote Work :

No