Mercedes-Benz

Principal AI ToolChain & Process Engineer

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Organization-wide AI-Enabled R&D Strategy & Vision\:

  • Define and own the organization-wide AI-enabled R&D strategic vision, multi-year roadmap, and technology investment priorities, ensuring alignment with Mercedes-Benz global R&D objectives and business strategy.
  • Present strategic recommendations to executive leadership (VP/CTO level) and drive cross-departmental consensus on AI adoption priorities and resource allocation.
  • Establish governance frameworks for AI tool selection, evaluation, and deployment across the organization.

Enterprise AI Toolchain Architecture & Platform\:

  • Architect and oversee the enterprise-level AI-powered R&D toolchain ecosystem, defining technical standards, integration patterns, and platform capabilities (e.g., AI programming assistants, intelligent test generation, AI-assisted requirements analysis, AI Agent-based project management, multi-agent collaborative development platforms).
  • Make critical technology selection and architectural decisions, balancing innovation with enterprise requirements (security, scalability, compliance, cost).
  • Drive build-vs-buy decisions and vendor/partner evaluation for AI toolchain components.

Intelligent R&D Process Transformation\:

  • Lead organization-wide analysis and transformation of software development processes (requirements, design, coding, testing, release), identifying systemic bottlenecks and designing AI-powered solutions (predictive models, NLP, code generation, multi-agent systems) to fundamentally reshape working paradigms.
  • Define and champion new AI-integrated development methodologies and process standards that become organizational best practices.

R&D Efficiency Measurement & Strategic Insights\:

  • Architect and own the organization-wide data-driven R&D efficiency measurement framework, defining key metrics (delivery cycle time, defect density, code reuse rate, AI tool adoption rate, developer productivity index), building AI-powered analytics platforms, and providing executive-level strategic insights and visual reports to drive data-informed investment decisions.

Technology Thought Leadership & Talent Development\:

  • Serve as the organization's technical thought leader in AI for software engineering, establishing the AI-driven R&D culture across departments, designing comprehensive training curricula, mentoring senior engineers and technical leads, and building an elite engineering organization capable of leveraging AI at scale.
  • Represent Mercedes-Benz R&D at industry conferences, technical forums, and academic partnerships to establish external thought leadership and attract top talent.

Technology Foresight, Research & Innovation\:

  • Lead the continuous evaluation and strategic assessment of emerging AI technologies in software engineering (LLM, AI Agent, AI4SE, autonomous coding systems), conducting advanced technical pre-research, prototype validation, and feasibility studies. Define the innovation pipeline and explore breakthrough application scenarios for automotive software development.

Tech Committee Leadership & Cross-functional Governance\:

  • Lead and steer RDC Tech Committee activities, setting the technical agenda, driving architectural decisions, and ensuring alignment across teams on technology direction and people development.
  • Establish and facilitate cross-functional technical review boards, architecture governance councils, and innovation steering committees.
  • Drive continuous improvement of engineering practices, methodologies, and quality standards across the organization.