AI TIC Head

Job description

Job description: Job Description ͏ ͏ ͏ ͏ Role: AI TIC Head | Title: Senior Director - AI Research We are creating a world-class AI Centre of Excellence to drive breakthrough innovation and commercialize next-generation AI solutions. As the Head of AI TIC , you will define the AI vision , lead state-of-the-art research , and scale enterprise-grade AI products from concept to global deployment . This is a high-impact leadership mandate for a visionary who thrives on building from scratch , scaling teams , and delivering AI solutions that transform industries . You will have full autonomy to shape the roadmap , architect the ecosystem , and position the organization as a global leader in AI innovation . Impact & Opportunities • Global Influence: Drive AI strategy that sets industry benchmarks. • Commercialization: Take AI products from research prototypes to market-ready solutions at scale. • Elite Team Building: Recruit and mentor top-tier talent from leading AI labs and research institutions. • Thought Leadership: Represent the organization at global AI conferences , research forums, and strategic partnerships. Key Responsibilities 1. AI Strategy & Vision • Define and execute a long-term AI roadmap aligned with business transformation and global expansion. • Champion Generative AI, LLMs, and advanced ML for high-value enterprise applications. • Establish frameworks for ethical AI , bias mitigation, and compliance. 2. Architecture & Innovation • Architect a scalable AI ecosystem , including LLMOps/MLOps pipelines and secure enterprise integration. • Lead development and fine-tuning of proprietary LLMs , multimodal models , and retrieval-augmented systems . • Ensure robust data governance and architecture for AI-driven insights. 3. Delivery & Scaling • Proven track record of delivery: Drive rapid prototyping and transition to production-grade deployments with measurable business impact. • Scale AI COE: Build and expand the AI TIC to support multiple enterprise initiatives simultaneously. • Implement CI/CD for ML , automated monitoring, and performance optimization using ONNX, DeepSpeed , and similar frameworks. • Proven technology transfer from research to products 4. Leadership & Cross-Functional Collaboration • Build and scale high-performing teams of AI researchers, engineers, and ML Ops professionals. • Foster a culture of innovation, velocity, and technical excellence . • Collaborate with product, engineering, and business leaders to embed AI into core workflows. • Research team leadership experience (15-30 people) Qualifications & Experience • Education: Master’s/Ph.D. from a top-tier institute (IIT, IISc, MIT, Stanford, etc.) in Computer Science, AI, or related field. • Research publications in top-tier AI conferences/journals such as NeruralIPS, ICLR, ICML, AAAI, and CVPR with demonstrated leadership in publishing top-tier research in LLMs, multimodal models or related areas. • Patents filed / granted with commercial impact is desired. • Experience: 12–15+ years in technology leadership, with 5+ years in AI/ML and Generative AI . • Proven success in: • Building and scaling AI teams and COEs • Commercializing AI products from research to market • Delivering enterprise-grade AI solutions with measurable impact • Deep expertise in LLMs, Generative AI, NLP, Computer Vision , and modern AI frameworks ( PyTorch, TensorFlow, Hugging Face ). • Hands-on experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP AI). • Strong understanding of MLOps/LLMOps , CI/CD for ML, and security in AI systems. • Exceptional communication and executive presence.