Qureos Mentor

Saaki Argus And Averil Consulting

<div>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.
<h1 class="jobSectionHeader">Responsibilities &amp; Deliverables</h1>
<h3 class="jobSectionHeader">1. Generative AI Strategy &amp; Architecture
</h3><ul><li>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.</li>
<li>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.</li>
<li>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.</li>
</ul><h3 class="jobSectionHeader">2. MLOps &amp; Production Scaling
</h3><ul><li>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.</li>
<li>Performance Engineering: Optimize inference pipelines and AI model efficiency using frameworks like ONNX and DeepSpeed to ensure low-latency, high-throughput performance in production.</li>
<li>System Integration: Ensure secure and resilient integration of AI services and APIs with core business applications and existing infrastructure.</li>
</ul><h3 class="jobSectionHeader">3. Team Leadership &amp; Business Impact
</h3><ul><li>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.</li>
<li>Business Automation: Identify and execute AI-powered automation initiatives that result in measurable improvements in operational efficiency, workflow simplification, and enhanced business decision-making.</li>
<li>Ethical AI &amp; Compliance: Define and uphold standards for AI Ethics, bias mitigation, and regulatory compliance in all AI solution designs and deployments.</li> 
</ul> 
<h2 class="jobSectionHeader">Required Skills &amp; Qualifications</h2>
<h3 class="jobSectionHeader">Educational Background</h3>
<ul><li>Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.</li>
</ul><h3 class="jobSectionHeader">Essential Technical Expertise</h3>
<ul><li>Extensive experience in leading and shipping enterprise-scale AI/ML products.</li>
<li>Deep, demonstrable expertise in Generative AI, LLMs, and RAG systems.</li>
<li>Hands-on, production-level experience with MLOps and LLMOps practices (e.g., orchestration, CI/CD for ML, monitoring).</li>
<li>Expert proficiency in major AI/ML frameworks: PyTorch, TensorFlow, and optimization frameworks like ONNX or DeepSpeed.</li>
<li>Proven experience in NLP, Computer Vision, or time-series AI solutions.</li>
<li>Strong background in cloud-native AI development and services (e.g., AWS SageMaker, Azure ML, Google AI Platform) is a significant advantage.</li>
</ul><h3 class="jobSectionHeader">Leadership &amp; Soft Skills</h3>
<ul><li>Demonstrated ability to communicate complex AI concepts and strategies to both technical teams and non-technical Senior Leadership/Stakeholders.</li>
<li>Proven track record of driving tangible business impact through deployed AI solutions.</li>
<li>Exceptional team leadership, mentorship, and project management capabilities.</li></ul></div>

AI COE Lead (Artificial Intelligence - COE Lead)

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AI COE Lead (Artificial Intelligence - COE Lead)