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Tier-1 brand and metro location increase applicant density, balanced by a senior niche role.
Specialized ML/AI, RAG, and enterprise data governance experience limits cross-industry portability.
Explicit 12-16 years plus specialized RAG/LLM and enterprise governance requirements make filtering stringent.
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Lead development of end-to-end AI solutions involving retrieval-augmented generation (RAG) and agentic AI workflows to support business decision-making and workflows.
Partner with business stakeholders to translate vague requirements into clear problem statements and AI/agentic AI roadmaps tied to key business KPIs.
Design, evaluate, and optimize retrieval models and strategies for enterprise data, ensuring secure access, compliance, and integration with AI and orchestration platforms.
12-16 years of related work experience; advanced degree preferred but not required.
Demonstrated experience converting vague business needs into data science problems and solutions.
Strong hands-on experience with NLP techniques, machine learning models (regression, classification), and working with large language models specifically for RAG and agent workflows.
Based in Bangalore, India with ability to relocate within India; employer does not sponsor visa employment.
Experienced in production or enterprise deployment of RAG architectures with strong knowledge of retrieval techniques (chunking, embeddings, vector search, reranking).
Capable of leading AI business transformations and workshops, translating strategy into AI deliverables linked to measurable KPIs.
Skilled working cross-functionally with data, product, governance, and security teams in regulated or large-scale enterprise environments.