AI COE Lead (Artificial Intelligence COE Lead)
AI COE Lead (Artificial Intelligence COE Lead)
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Job Description
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
Employment Type
Remote
