Global Solutions Architect, Automotive&manufacturing Emea Sa Team

Amazon Amazon · Big Tech · DE, BY, Munich · Solutions Architect

Solutions Architect for AWS in the Automotive & Manufacturing sector in EMEA, focusing on crafting scalable cloud architectures that integrate generative AI and agentic AI capabilities for enterprise customers. The role involves advising customers on their AI strategy, designing end-to-end solutions, and demonstrating business value through AWS services.

What you'd actually do

  1. Serve as a trusted technical advisor to customers, understanding their business needs and technology challenges to architect customized, end-to-end solutions spanning cloud infrastructure, data, and AI
  2. Lead discussions to shape a customer's long-term technology and AI strategy, guiding them on trade-offs between short-term fixes and extensible, scalable architectures
  3. Design generative AI and cloud-native architectures that orchestrate complex workflows across enterprise systems, leveraging AWS services
  4. Credibly advise senior technical and executive stakeholders on architectural decisions, risks, and long-term strategy, translating complex technical concepts into business language that demonstrates clear value
  5. Proactively identify opportunities to accelerate implementation through reusable components, parallel workstreams, and proven design patterns

Skills

Required

  • Solutions Architect experience
  • Systems Engineer experience
  • Consulting role experience
  • Generative AI proficiency
  • Agentic AI proficiency
  • Cloud architecture design
  • Understanding of foundation models
  • Understanding of RAG
  • Understanding of agentic architectures
  • Understanding of prompt engineering
  • Ability to connect technology with business value
  • Strategic thinking
  • Communication skills (technical and business language)
  • Automotive industry knowledge (manufacturing processes, supply chain, connected vehicles)

Nice to have

  • Deep technical expertise in at least one domain
  • Broad competence across the cloud landscape
  • Experience with AWS services
  • Experience with large scale computing solutions
  • Experience with digital transformation

What the JD emphasized

  • strong proficiency in generative AI and agentic AI
  • understand foundation models, retrieval-augmented generation, agentic architectures, and prompt engineering
  • integrate AI into broader cloud architectures that solve real business problems end to end

Other signals

  • customer-facing
  • architecting solutions
  • generative AI
  • agentic AI
  • cloud architectures