Full-Time

Senior Solutions Architect GenAI

Automotive & Manufacturing GenAI

Amazon

Amazon

10,001+ employees

Global online marketplace and cloud services

No salary listed

Munich, Germany

In Person

Category
Sales & Solution Engineering (1)
Required Skills
Computer Networking
AWS
Data Analysis

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Requirements
  • 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
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
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
  • 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 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
Desired Qualifications
  • Experience designing, developing, and optimizing prompts and templates that guide LLM behavior
  • Experience with design, deployment, and evaluation of LLM-powered agents and orchestration
  • Experience with AI system evaluation methodologies, including LLM evaluation frameworks, automated testing pipelines, and AIOps practices for monitoring and operating AI workloads at scale
  • Experience with robotics, autonomous systems, or Physical AI development
  • Experience with building AI applications powered by language models with frameworks like LangChain, Strands, or others

Amazon operates a global e-commerce platform with a large online marketplace that connects consumers to both direct sales and third-party sellers across many product categories. It earns money from product sales and marketplace fees, Amazon Prime subscriptions, and AWS cloud services, plus a large Amazon Associates affiliate network. The platform combines fast shipping, streaming, cloud computing, and digital services to reach customers across numerous countries. Its goal is to be the world’s most customer-centric company by offering convenient access to a wide range of products and services.

Company Size

10,001+

Company Stage

IPO

Headquarters

Seattle, Washington

Founded

1994

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Simplify Jobs

Simplify's Take

What believers are saying

  • AWS revenue grew 37% in Q2 2026, its fastest pace in four years.
  • Amazon expanded AI shopping tools and won new AWS customers like AppFolio and BrightSign.
  • Prime grocery pushes in India and Australia deepen purchase frequency and member retention.

What critics are saying

  • FTC v. Amazon heads to trial in February 2027, threatening marketplace remedies.
  • Amazon faces ongoing Prime cancellation and warehouse safety cases, including Staten Island and California.
  • $220 billion 2026 capex and memory shortages squeeze margins if AWS growth slows.

What makes Amazon unique

  • Amazon’s three-sided flywheel links Prime, marketplace selection, and AWS infrastructure at scale.
  • AWS turned internal shopping AI into a retailer-facing agentic commerce product in 2026.
  • Amazon’s logistics network still compresses delivery times across groceries, media, and household essentials.

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Benefits

Flexible Work Hours

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

2%

2 year growth

1%
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