Posted 11 July, 2026

Director - AI Research

Diverse Lynx

Bangalore,Karnataka Full Time

Reference: 365_569689_26-01355

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)

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.