Principal AI Architect - Product and Framework

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💼 Role Overview We are looking for a Principal AI Architect for Enterprise AI Framework and AI Business Application s, who combines deep hands-on AI engineering expertise with strong business process understanding to design, build, and scale AI products across Mobility Aftermarket. This is not a research role and not a pure product management role. You will: Architect and build AI applications from scratch Define the AI framework and development standards for MA Ensure AI solutions are scalable, secure, and production-ready Mentor AI engineers across the team Translate business logic into robust AI systems This role will shape how AI applications are developed, implemented and industrialized in MA. 🎯 What you will do (Key Responsibilities) 1. AI Architecture & Framework Ownership Define and evolve the AI application architecture for MA. Design reusable AI components and frameworks. Establish standards for model integration, deployment, monitoring, and scaling. Ensure AI systems are production-grade and enterprise-ready. 2. Hands-On AI Development Design and build AI-driven applications end-to-end. Implement: ML models, LLM-based workflows, APIs and microservices, Orchestration layers Design AI Framework, Train models, establish RAG and MCP Develop Self-Service and reusable AI agents This is a hands-on AI Architect role with business background. 3. Business Logic Integration Translate MA business processes into AI logic. Embed AI into real operational workflows. Ensure solutions align with: Order-to-Cash, Customer interaction flows, Trade operations, Business Insight Balance AI innovation with business feasibility. 4. AI Product Direction Evaluate AI use cases for feasibility and scalability. Define technical roadmap for AI framework evolution. Guide build-vs-buy decisions. Ensure AI initiatives deliver measurable business value. 5. Mentorship & Technical Leadership Mentor AI engineers and developers. Establish best practices in: MLOps, AI UI, AI Work, Model lifecycle management Provide architectural guidance across AI initiatives. This is a senior individual contributor role with technical leadership with business influence. 👤 What We're Looking For (Qualifications & Skills) 1. Strong AI Engineering Depth (Mandatory) 8-12+ years in AI/ML engineering or applied AI. Strong hands-on coding experience (Python mandatory). Experience building AI applications from scratch. Experience deploying AI solutions into production environments. Solid understanding of: ML model lifecycle, LLM integration, API architecture, Microservices, Cloud-native systems 2. Enterprise & Business Understanding (Critical) Experience embedding AI into enterprise workflows. Understanding of ERP-driven business processes. Ability to translate business requirements into AI system design. Experience in Automotive / Mobility / Trade environment preferred. This is not optional. 3. AI Framework & Platform Thinking (Mandatory) Experience building reusable AI components. Knowledge of MLOps and AI monitoring. Experience designing scalable AI architectures. Familiarity with responsible AI and governance. 4. Personal Profile Deep technical curiosity. Strong system thinking. Able to challenge both business and technical teams. Mentorship mindset without formal people management. 💎 What's In It for You We don't just offer jobs-we build careers. At Bosch, you'll benefit from: 🕰️ Flexible working hours 🧠 Continuous learning 💼 Career mobility across functions and regions 🧘♀️ Well-being support and employee assistance programs 💸 Attractive compensation including bonus schemes and insurance 🤝 Inclusive culture built on respect, collaboration, and empowerment 📅 Next Steps Our recruitment process typically includes: Application screening Interview(s) with Hiring Manager, Business Leaders and HR Business case or technical assessment (where relevant) Ready to grow your career with Bosch? 🚀

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