The below role is for our Bengaluru office.

Role : Director - Data Science:

- Owning enterprise AI strategy across Generative AI, Agentic AI, and ML platforms - from long-term vision through production deployment and measurable value realisation.
- Deep hands-on expertise in multi-agent orchestration, LLM/SLM infrastructure, RAG pipelines, Knowledge Graphs, NLP, multimodal AI, MLOps, and responsible AI governance.
- Proven track record establishing reference architectures and reusable AI frameworks at org scale, with multi-million-dollar cost savings and measurable operational impact delivered at Apple, Morgan Stanley, and beyond.
- Recognised technical force multiplier and C-suite advisor - builds high performing AI engineering teams, drives AI readiness and data literacy org-wide,



and represents the AI function at senior executive level.
- Multi-Agent AI Frameworks
- Business-Facing AI Applications
- LLM, SLM & GenAI Platforms
- RAG, Knowledge Graphs & Retrieval
- Computer Vision: OCR
- Forecasting Platform
- ML Platform & MLOps Architecture
- AI-Ready Data Foundation
- Team Leadership: Scaled and managed a multi-tiered AI engineering organisation; mentored senior engineers and AI scientists as a force multiplier; set technical standards for AI development and AI readiness assessments org-wide; owned platform KPIs - adoption, latency, cost per inference, and business value

📌 Director - Data Science (India)
🏢 Strategic Resources
📍 India