Job Title: AI TIC Head
City: Bengaluru
State/Province: Karnataka
Posting Start Date: 9/3/26
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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.
