Description

Core Responsibilities:

1. 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.
2. 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.
3. 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.
4. Impact Measurement:
   • Quantify business impact (e.g., cycle time reduction, defect reduction, cost savings).
   • Continuously optimize solutions via data-driven iteration.
5. Technical Evangelism:
   • Promote AI adoption across engineering teams.
   • Cultivate internal AI talent and external technical presence.

Qualifications

Qualifications (AI Focus):

1. Education: MS/PhD in AI, Machine Learning, Computer Science, or related field.
2. 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.
3. 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).

Additional Info

Company Description

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.