> Markdown version of [/jobs/ext/4121740-sr-solutions-architect-genai-automotive-manufacturing](https://www.wearedevelopers.com/jobs/ext/4121740-sr-solutions-architect-genai-automotive-manufacturing). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Solutions Architect GenAI, Automotive & Manufacturing - **Company:** Amazon.com, Inc - **Location:** München, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Artificial Intelligence, Amazon Web Services, Systems Engineering, Cloud Computing, Databases, SAP Business Suiteing, SAP NetWeaver Business Warehouse, SAP HANA, SAS (Software), Software Engineering, IT Architecture, Generative AI, Sap Business Objects, Information Technology, Amazon Bedrock, Data Analytics, SAP S/4HANA, AIOps, Service Stack - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=77f63ef88f124ea7 ## About the Role * Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). * Experience in design, implementation, or consulting in applications and infrastructures * Experience in IT development or implementation/consulting in the software or Internet industries, * Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs * Experience in infrastructure architecture, database architecture and networking * Experience working with end user or developer communities ## Description * Develop strategic technical roadmaps and implementation plans for generative AI solutions that align with customers' business objectives and existing architecture * Design and implement generative AI architectures that orchestrate complex workflows across enterprise systems, leveraging AWS services like Amazon Bedrock, SageMaker, Kiro, and Amazon Quick * Credibly advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term AI strategy, translating complex technical concepts into business language that demonstrates clear value and informs strategic decision-making * Mentor team members and contribute to knowledge sharing within the organization to advance AI adoption and implementation best practices * Lead thought leadership initiatives and externally represent by evangelizing AWS generative AI capabilities through public speaking at industry events (re:Invent and AWS Summit), publishing technical content (blogs, whitepapers, reference architectures), and sharing best practices with the broader AI/ML community * Stay current with the latest advancements in generative AI research, AWS service and partner capabilities to improve system performance and recommend optimal technology stacks * Define and implement evaluation frameworks for AI systems, including model performance benchmarking, output quality assessment, and operational monitoring (AIOps), ensuring deployed solutions meet enterprise reliability and governance standards A day in the life * Review customer requirements and technical challenges, focusing on opportunities to implement generative AI solutions that can transform business outcomes * Develop proof-of-concepts that demonstrate how generative AI solutions can transform business processes * Influence service team leadership and product marketing on the future needs for customers, prioritizing roadmap features and GTM messaging * Dedicate time to continuous learning about the latest advancements in AI research and AWS service capabilities * Participate in knowledge sharing activities with colleagues, creating field enablement materials to help other SAs understand how to integrate generative AI solutions into customer architectures About the team The Automotive & Manufacturing Generative AI Solution Architecture team is dedicated to accelerating generative AI adoption across strategic automotive and manufacturing accounts. Our mission is to drive tangible business value through focused execution on strategic generative AI projects, while enabling scale by up-skilling broader field teams. We work at the intersection of frontier AI and industry-specific transformation, partnering closely with account teams, technology specialists, and industry specialist teams to deliver comprehensive solutions.