BPS & AI engineer_PS at Bosch Group

Wuxi, Jiangsu, China -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Implementation, Lean Manufacturing, BPS System Approach, GenAI, Low-code Platforms, Text-to-SQL, Python, SQL, Value Stream Mapping, Requirement Gathering, Problem Solving, Digital Transformation, Industry 4.0, Analytical Thinking, Interpersonal Communication, Project Management

Industry

Software Development

Description

Company Description Bosch Powertrain Systems Co., Ltd. (RBCD), the joint venture of Robert Bosch GmbH and Weifu High Technology Group Co., Ltd., is a high tech enterprise specializing in the development, production and sales of common rail systems, exhaust gas after treatment systems, fuel cell stacks and key components. The company, based on its local R&D and project management competence, with innovative technologies, can support customers to continuously improve internal combustion engines efficiency, to reduce emission, and to accelerate the market launch of new energy products. The garget of the company is to provide the Chinese market and customers with diversified advanced powertrain products. Job Description Act as a key bridge between the production area and digital/AI developers. Responsible for collecting and clarifying business needs from MOE and driving the practical application and rollout of BPS and Artificial Intelligence (AI) solutions. Support the Value Streams in their daily operations by facilitating continuous improvement (CIP) and empowering associates with user-friendly digital and AI tools AI Implementation: • Needs Analysis: Work closely with the Value Stream (VS) and production teams to collect, clarify, and translate operational pain points into actionable digital or AI use cases. • Application & Rollout: Support the implementation and daily AI & digital applications (e.g., AI associates, AI for quality improvement ect). • Tool Utilization: Assist local teams in using GenAI tools, low-code platforms (e.g., Dify), and Text-to-SQL applications to improve efficiency in daily tasks like document processing, problem analysis, and basic data extraction BPS implementation & Continuous Improvement (CIP) • Support Value Stream members in applying the BPS system approach (tact, flow, and rhythm) in their daily work. • Facilitate fast improvement activities (e.g., Speed week / BLI) in the production area, helping teams use digital dashboards and tools to visualize Throughput Time (TPT) and eliminate waste. • Support the integration of traditional BPS methods (like value stream mapping and systematic CIP) with shopfloor digital tracking tools Training & Empowerment • Competence Building: Provide user-level training on BPS basics, problem-solving methods, and the application of new digital/AI tools • Digital Culture: Support initiatives like the Shopfloor EDT (Empowered Digital Team) Learning Camp to build a culture of active learning and digital transformation among production associates Qualifications • Education: Master's degree in AI, computer science, Information Technology or a related field. • Professional Experience: Practical experience in production, lean manufacturing (BPS) • Digital/AI Literacy: Familiarity with the concepts of digitalization, Industry 4.0, and GenAI applications. Coding skills (like basic Python or SQL) are a plus, but the primary requirement is a strong interest and ability to quickly learn and apply digital tools in a business context. • General Skills: Good English and computer skills. Strong analytical and problem-solving mindset. • Communication & Bridging: Excellent interpersonal and requirement-gathering skills. Ability to communicate effectively with both production colleagues and technical IT/AI developers. Able to lead and influence without direct authority Legal Entity: Bosch Powertrain Systems Co.,Ltd.

Responsibilities

Act as a bridge between production and AI developers to implement digital and AI solutions that improve operational efficiency. Support value streams through continuous improvement activities and empower associates with digital tools and training.