Sr. Solutions Architect, Enterprise Energy

Amazon Amazon · Big Tech · NY +1 · Solutions Architect

Solutions Architect role focused on driving enterprise AI and agentic adoption by helping customers design and scale multi-agent workflows, generative AI applications, and AI-powered automation on AWS. This role involves guiding organizations through cloud migration and modernization, accelerating deployment from experimentation to enterprise-wide, and working with sales and partner networks.

What you'd actually do

  1. As a trusted customer advocate, Solutions Architects drive enterprise AI and agentic adoption while guiding organizations through cloud migration and modernization.
  2. You'll help customers design and scale multi-agent workflows, generative AI applications, and AI-powered automation on AWS, while architecting strategies to migrate existing workloads and modernize legacy systems for the cloud.
  3. Through hands-on engagement, training, and strategic advisory, you'll accelerate the path from experimentation to enterprise-wide deployment, delivering measurable business outcomes across a broad set of customers.
  4. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your enterprise customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.

Skills

Required

  • 3+ years of design, implementation, or consulting in applications and infrastructures experience
  • 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 10+ years of infrastructure architecture, database architecture and networking experience

Nice to have

  • 5+ years of infrastructure architecture, database architecture and networking experience
  • Experience working with end user or developer communities

What the JD emphasized

  • enterprise AI
  • agentic adoption
  • multi-agent workflows
  • generative AI applications
  • AI-powered automation

Other signals

  • drive enterprise AI and agentic adoption
  • design and scale multi-agent workflows
  • generative AI applications
  • AI-powered automation on AWS
  • accelerate the path from experimentation to enterprise-wide deployment