AI Platform & Knowledge Systems Lead_MA

Job Description

💼 Role Overview

We are looking for an AI Platform & Knowledge Systems Lead who will own the operational backbone of AI within Mobility Aftermarket.

This role ensures that AI agents, knowledge bases, and RAG systems are scalable, reliable, governed, and continuously improving.

• You will define and manage:
• AI quality engineering
• Knowledge base architecture
• RAG performance & evaluation
• AI testing & monitoring
• LLMOps & CI/CD integration
• Responsible AI controls

This role ensures that AI moves from experimental pilots to enterprise-grade, reliable solutions.

🎯 Key Responsibilities

   1. AI Platform & LLMOps Ownership

• Define and implement AI deployment and monitoring standards.
• Build and manage CI/CD pipelines for AI systems.
• Monitor model performance, drift, hallucination, and system reliability.
• Define rollback and human-in-the-loop strategies.

   2. Knowledge Base & RAG Architecture

• Design and manage scalable knowledge base architecture.
• Implement and optimize Retrieval-Augmented Generation (RAG) systems.
• Define document ingestion pipelines.
• Manage embedding strategies and retrieval logic.
• Continuously improve relevance and response quality.

   3. AI Quality Engineering & Testing

• Define AI testing frameworks (functional + non-functional).
• Implement: Prompt evaluation, Output validation, Regression testing for agents, Defect tracking for AI behaviors
• Measure AI system reliability using structured KPIs.

   4. Agent Lifecycle Management

• Train, fine-tune, and evaluate AI agents.
• Manage feedback loops from business users.
• Improve accuracy and reduce hallucination.
• Ensure explainability and traceability of AI decisions.

   5. Responsible AI & Governance

• Ensure data privacy and compliance.
• Implement audit logs and traceability.
• Define guardrails for enterprise AI.
• Align AI governance with Bosch standards.

   6. Innovation Enablement

• Identify new AI enablement tools.
• Standardize reusable AI patterns.
• Support PoCs with platform capabilities.
• Collaborate closely with Principal AI Architect.