AI Knowledge (Bengaluru)

AI Knowledge (Bengaluru)

13 Aug
|
Wadhwani Foundation
|
Bengaluru

13 Aug

Wadhwani Foundation

Bengaluru

Job Title: AI Knowledge & Execution Grounding Specialist

This person is the architect of the "Ground Truth" that ensures the AIâs advice is high-velocity and hyper-practical.

Role Summary
We are looking for a Knowledge & Execution Grounding Specialist to ensure our AI provides high-growth SMBs with accurate, "ready-to-execute" strategies. You will sit in the Knowledge Team and act as the bridge between our proprietary growth frameworks and the Technical/Product teams. Your mission is to structure our "execution blueprints"âtemplates, SOPs, financial models, and growth hacksâso the AI retrieves and applies them with 100% factual accuracy. You aren't just managing content; you are managing the logic of execution.
Key Responsibilities
- Content Engineering for RAG: Audit and restructure unstructured data (PDFs, wikis, transcripts) into "AI-ready" formats by optimizing semantic chunking and hierarchical data decoding.
- Blueprint Deconstruction: Break down complex growth strategies (e.g., "Scaling Sales Teams" or "Inventory Management") into modular,



machine-readable blocks that the AI can accurately recompose for a userâs specific business size and industry.
- Operational Metadata Design: Develop a tagging system that accounts for execution constraints. (e.g., Tagging advice by Capital Required, Team Size, or Tech Stack so the AI doesn't suggest a solution the SMB cannot execute).
- RAG Strategy Liaison: Partner with the Tech team to define retrieval logic. You decide which "Playbooks" are the primary sources for specific user intents to prevent the AI from giving "generic" internet advice.
- Execution Auditing: Conduct "Stress Tests" on AI outputs. If a business owner asks "How do I set up a CRM?", you ensure the AI pulls from our verified partner stack and doesn't hallucinate a random software.
- Grounding Quality Assurance: Regularly audit AI outputs for hallucinations and "unfounded" claims. Identify if errors stem from poor source data or technical retrieval fai

📌 AI Knowledge (Bengaluru)
🏢 Wadhwani Foundation
📍 Bengaluru

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