Job Summary
As an AI Expert in RBCD/TEF4, you will be a core builder of Bosch's AI-Native Operations in BBM-CN. You will design and develop Agentic AI systems – autonomous AI agents that work side-by-side with our operations teams to continuously improve manufacturing and business processes through the M.AI.Co (Mobility AI Copilot) platform. Beyond classical computer vision and deep learning, you will own the full agentic development cycle: from opportunity identification and agent architecture, to data governance, safety guardrails, and production-grade deployment.
Roles and Responsibilities
- Agentic AI Development
- Identify agentic opportunities across RBCD manufacturing operations; translate business cases into technical agent architectures and implementation roadmaps.
- Design, develop, and deploy AI agents using modern agentic frameworks (LangGraph, AutoGen, CrewAI, or equivalent) integrated into the M.AI.Co platform.
- Leverage Coding Agents (Claude Code, OpenAI Codex, GitHub Copilot Workspace) to accelerate agent and tool development; apply prompt engineering, tool-use, and multi-agent orchestration patterns.
- Architect multi-agent pipelines that combine LLMs, vision models, retrieval-augmented generation (RAG), and structured data to deliver end-to-end automated workflows.
- Build and maintain safety guardrails: human-in-the-loop checkpoints, output validation, audit logging, and risk control frameworks for production agent deployments.
- Manage agent data assets — define retrieval strategy, knowledge-base architecture, and context window optimization to ensure agents have accurate, up-to-date information.
- Computer Vision & Classical AI
- Lead end-to-end development of computer vision and deep learning algorithms for AOI (Automatic Optical Inspection) and manufacturing quality processes — from PoC to serial implementation.
- Design and implement model architectures (CNN, Transformer-based ViT, multimodal) for classification, detection, segmentation, and anomaly detection tasks.
- Establish data collection, labelling, and data management strategies to enable fast model iteration and continuous performance improvement.
- Collaborate with IT, machine, and product technical experts to define data pipelines, storage concepts, and MLOps practices.
- Leadership & Knowledge Sharing
- Lead or accompany cross-functional project teams, taking full responsibility for costs, quality, and on-time delivery.
- Coordinate AI work packages within RBCD manufacturing; cooperate with PS central departments to deploy and share standard solutions across plants.
- Coach and mentor data enthusiasts and team members; drive AI competency build-up including Agentic AI literacy across the organisation.
- Proactively monitor the latest AI developments (foundation models, agentic frameworks, coding agents) and evaluate their applicability to RBCD use cases. Authority ( mandatory for Grade 7 and above, optional for others )
- Lead or develop analysis model, algorithms for improvement projects with full responsibility for costs, quality, and on-time delivery.
- Cooperate with PS central department to deploy / sharing the standard solutions.
- Coaching and guiding data enthusiasm and team members supporting them competency build up