Solutions Architect, Enterprise, Europe-central Solutions Architect

Amazon Amazon · Big Tech · GE, Switzerland +1 · Solutions Architect

Solutions Architect for AWS focusing on enterprise customers in the Retail and Consumer Goods industry. The role involves designing, building, and refining technical solutions, with a focus on applied AI and cloud-based software. Responsibilities include customer interaction, architectural design, and sharing best practices. Experience with Generative AI and agentic AI solutions is preferred.

What you'd actually do

  1. You will work with AWS customers and industry domain experts to create the architectures for solutions to Retail and Consumer Goods industry challenges.
  2. You will not only design and build these solutions, but continue to refine and scale them by working closely with AWS Professional Services, AWS Partners, and customers.
  3. You will also participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about AWS technology and industry trends (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
  4. Have a strong understanding of large scale computing solutions.
  5. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.

Skills

Required

  • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
  • Knowledge of cloud architecture

Nice to have

  • 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Experience working with end user or developer communities
  • Knowledge of software development tools and methodologies
  • Experience with Generative AI and agentic AI solutions in enterprise contexts

What the JD emphasized

  • applied AI
  • cloud-based software solutions
  • Generative AI
  • agentic AI solutions