Sr Solutions Architect GenAI, Automotive & Manufacturing

Amazon is hiring a Sr Solutions Architect GenAI, Automotive & Manufacturing in Munich, Germany. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Bedrock, SageMaker and RAG among its tools and skills.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

bedrocksagemaker

ragfine-tuningai-automationai-research

Are you passionate about pioneering the future of generative AI and eager to help global enterprises solve real-world challenges using AI solutions? The Automotive & Manufacturing Generative AI Solutions Architecture team at AWS seeks experienced technologists who possess a unique balance of technical depth and strong interpersonal skills. As a trusted customer advocate and Generative AI Solutions Architect, you'll partner with some of the world's largest automotive and manufacturing companies to craft highly scalable AI architectures that address critical business problems and accelerate the adoption of AWS's comprehensive AI stack.

You will join a specialized team of Solutions Architects dedicated exclusively to generative AI, working alongside account managers and account Solutions Architects to drive AI innovation across global customers. Our team's focused expertise has made us a valuable resource for customers seeking guidance on advanced AI solutions. You'll help organizations understand best practices and effectively implement generative AI capabilities within their existing cloud infrastructure. Through close collaboration with product teams, you will influence AWS's generative AI roadmap while architecting sophisticated solutions that combine AWS’s AI capabilities.

In this role, you will shape and execute strategies to build mind share and broad use of AWS's AI services within automotive & manufacturing customers. The ability to connect AI technology with measurable business value is critical, as you'll develop compelling demos and proof-of-concepts that demonstrate how generative AI can revolutionize business operations through intelligent automation and advanced reasoning capabilities. You'll design architectures that enable AI systems to process complex queries, interact with enterprise data sources, and efficiently complete multistep tasks with agentic AI.
At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products today are driven by machine learning. You will join a team that brings deep expertise to customers through every layer of the AI stack, helping organizations think strategically about their AI initiatives and business challenges. Whether implementing RAG-enabled knowledge bases, designing custom model fine-tuning solutions, or architecting enterprise-wide AI systems, you'll help organizations build scalable, maintainable solutions that evolve with their business needs and drive unprecedented transformation across the industry.

Key job responsibilities
• 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.

Basic qualifications

- 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

Preferred qualifications

- 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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Sr Solutions Architect GenAI, Automotive & Manufacturing at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Solutions Architect GenAI, Automotive & Manufacturing is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in DE, BY, Munich.
The job was posted on October 22, 2026.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGFine-tuningAI AutomationAI ResearchBedrockSageMaker

Also common in solutions architect jobs at this level

Python Azure LLM Google Cloud SQL Kubernetes

Pay

Typical solutions architect job: $169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Tell me about a workflow you automated with AI tools, end to end.
Tell me about a research question you investigated. What did you find?
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, Fine-tuning, AI Automation, AI Research, and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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