AI Expert_PS

Job Summary

As an AI Expert in RBCD/TEF3, you will be the technical driver of equipment-centric enterprise AI in BBM-CN — designing, deploying, and applying AI where it creates measurable value: on and around our manufacturing equipment. You will work deep inside the factory, side-by-side with equipment, maintenance, and operations teams, identifying real problems at the machine and solving them end-to-end with AI.

You own your deployment strategy: prioritising use cases by business value and feasibility — from predictive maintenance and anomaly detection to machine-integrated vision and LLM-based shop-floor assistance — always on a rock-solid technical foundation in machine learning, industrial data, and edge deployment, and aligned with Bosch enterprise AI platforms (e.g., M.AI.Co) and the plant’s IIoT and edge infrastructure. For you, AI is never the goal: every project starts from a real problem on the shop floor and ends with a measured, sustainable improvement in daily production.

Roles and Responsibilities

Equipment-Centric AI Strategy & Deployment

• Define and continuously refine the TEF3 AI strategy and roadmap for equipment and manufacturing technology — prioritising use cases by business value, data feasibility, and scalability, aligned with plant and PS/CE direction.
• Translate equipment pain points (downtime, scrap, cycle time, energy, maintenance cost) into clearly scoped AI use cases with quantified targets and business cases.
• Drive end-to-end deployment: from single-line pilot to plant-wide rollout and multi-plant replication, with defined acceptance criteria, KPI tracking, and sustainable handover to operations and maintenance.
• Cooperate with PS central departments and other plants to deploy standard AI solutions for equipment and to feed proven TEF3 solutions back into the standard portfolio.
AI Application Development on the Shop Floor

• Develop and deploy AI applications that solve concrete equipment problems: predictive maintenance (failure prediction, remaining useful life), anomaly detection on machine and process signals, process parameter optimisation, OEE improvement, and maintenance / spare-parts planning support.
• Develop computer-vision solutions for equipment-integrated quality and condition monitoring (e.g., on-machine inspection, AOI support).
• Build LLM-based applications that genuinely help the shop floor: retrieval-augmented assistants over equipment manuals, fault codes, and work instructions — applied where they clearly beat simpler solutions.
• Work directly at the machine with maintenance and equipment teams: observe, measure, and validate that solutions address root causes rather than symptoms.
Industrial Data & Deployment Foundation

• Design and implement industrial data pipelines: machine data acquisition (PLC, CNC, sensors via OPC UA / MQTT / fieldbus), edge processing, and historian / IIoT platform integration, ensuring data quality and governance at the source.
• Deploy AI on industrial edge devices and on-prem infrastructure: model optimisation (quantisation, ONNX, TensorRT), containerised serving, and robust integration into equipment environments.
• Establish MLOps practices for equipment AI: monitoring, drift detection, retraining, and full lifecycle management in production.
• Ensure IT/OT security and functional-safety requirements are respected in every deployment on and around equipment.
Leadership, Scaling & Knowledge Sharing

• Lead or accompany cross-functional project teams (equipment, maintenance, production, quality, IT) with full responsibility for costs, quality, and on-time delivery.
• Coach equipment and maintenance engineers in data and AI literacy; build pragmatic, lasting AI competence within TEF3.
• Monitor AI technology developments (foundation models, agentic frameworks, edge AI) and evaluate them soberly against real TEF3 use cases — adopting what solves problems, not what is fashionable.
Authority (mandatory for Grade 7 and above, optional for others)

• Define the AI deployment strategy and roadmap for equipment-centric AI within RBCD/TEF3 scope, with full responsibility for results.
• Lead AI projects and work packages cross-functionally; select technical approaches and tools within approved budgets.
• Cooperate with PS central departments to deploy and share standard solutions across plants.
• Coach and guide data enthusiasts and team members, supporting their competency build-up.

Function: Manufacturing
Experience Level: Associate