JMP-Chief AI Software Technologist (BCSC) at Bosch Group

Wuxi, Jiangsu, China -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Strategy, Machine Learning, Deep Learning, Generative AI, NLP, Software Engineering, Cloud Platforms, System Architecture, Technical Leadership, Cross-Functional Collaboration, Agile, DevOps, CI-CD, Technical Judgment, Results-Driven Mindset

Industry

Software Development

Description

公司介绍 Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. 职位描述 Core Responsibilities: AI Strategy & Vision: Define forward-looking AI strategy, roadmap, and vision for software engineering. Identify breakthrough AI applications in software engineering. Evaluate/select cutting-edge AI technologies addressing engineering pain points. Cross-functional Solution Design: Partner with software engineering leaders to understand goals/challenges. Architect AI solutions (e.g., automated code generation, intelligent testing, cost optimization). Ensure solutions are innovative, scalable, secure, and integrable. Technical Leadership & Execution: Build/lead AI solution architect/engineer teams. Provide technical guidance and oversee critical AI project implementation. Establish AI standards, best practices, and governance. Impact Measurement: Quantify business impact (e.g., cycle time reduction, defect reduction, cost savings). Continuously optimize solutions via data-driven iteration. Technical Evangelism: Promote AI adoption across engineering teams. Cultivate internal AI talent and external technical presence. 职位要求 Qualifications (AI Focus): Education: MS/PhD in AI, Machine Learning, Computer Science, or related field. Experience & Skills: 5+ years in AI/ML R&D and practical application. 3+ years leading AI technical teams (algorithm/engineering/applied). Required AI Expertise: Mastery of ML, Deep Learning, Generative AI, and NLP； Proven success deploying complex AI solutions at scale. Software Engineering Aptitude: Familiarity with SDLC and modern practices (Agile/DevOps/CI-CD)； Ability to rapidly grasp software engineering challenges (Deep SWE experience is a plus, not required). Proficiency in programming languages (Python essential) and cloud platforms. Strong system architecture design skills. Soft Skills: Technical judgment, leadership, cross-functional collaboration, strategic communication, results-driven mindset. Preferred Qualifications: Successful AI projects in software engineering (e.g., code/test/DevOps intelligence). Experience leading AI implementations at major tech firms. Understanding of specific SWE domains (e.g., OS, compilers, databases). 额外信息 We seek a Chief AI Software Technologist with deep AI expertise and leadership to drive our software intelligence transformation. Reporting directly to the GM, you will develop corporate strategy to integrate cutting-edge AI across the entire software engineering lifecycle, revolutionizing efficiency, quality, and cost competitiveness. As the AI technical authority, you'll collaborate with software team leaders to identify high-impact opportunities, design innovative AI solutions, and lead implementation. Your core mission: Solve fundamental software engineering challenges through AI-driven disruptive innovation. 我们正在寻找一位具有深厚 AI 技术背景和卓越领导力的首席 AI 软件技术官，引领公司软件体系智能化转型。您将直接向总经理汇报，负责制定并主导公司级战略，将最前沿的 AI 技术深度融入软件工程全生命周期，实现效率、质量与成本竞争力的革命性提升。您将作为 AI 技术权威，与各软件团队负责人紧密协作，识别高价值场景，设计创新 AI 解决方案，并领导推动方案落地实施。您的核心价值在于利用 AI 技术解决软件工程中的根本性挑战，驱动颠覆性创新。 Legal Entity: Bosch (China) Investment Ltd.

Responsibilities

The Chief AI Software Technologist will define the AI strategy and vision for software engineering, identifying breakthrough applications and architecting innovative solutions. They will lead AI project implementations and promote AI adoption across engineering teams.