Solutions Architect, Enterprise

Amazon Amazon · Big Tech · CA, AB +1 · Solutions Architect

Solutions Architect for AWS Enterprise customers, focusing on designing and building cloud solutions, including AI-driven ones. The role involves acting as a technical advisor, translating requirements into solutions, and building prototypes. Experience with AI/ML solutions, Generative AI, and Agentic applications is preferred.

What you'd actually do

  1. Design scalable, secure cloud architectures to support migration, modernization, and the development of cloud-native and AI-driven solutions
  2. Serve as a trusted technical advisor and customer advocate, helping customers identify both opportunities and risks in their technical decisions while proactively anticipating their evolving needs
  3. Translate customer requirements into technical solutions and communicating complex concepts clearly to both technical and business stakeholders
  4. Develop and deliver technical content such as workshops, prototypes, and presentations and speak at events to help customers evaluate and adopt new technologies
  5. Lead technical discussions, whiteboarding sessions, and proof-of-concept activities to guide customer decision-making and drive innovation

Skills

Required

  • 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 2+ years of design, implementation, or consulting in applications and infrastructures experience
  • Familiarity with modern architectures such as microservices, serverless, and event-driven systems
  • Strong technical foundation in cloud architecture, data, AI/ML, and software development
  • 3+ years of experience in solutions architecture, technical advisory, or a similar customer-facing technical role

Nice to have

  • Experience migrating or transforming legacy customer solutions to the cloud
  • Experience working with AWS technologies from a dev/ops perspective
  • Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud), including designing, building, and deploying production workloads
  • Experience designing or implementing AI/ML solutions, including Generative AI and Agentic applications

What the JD emphasized

  • AI-driven solutions
  • AI/ML solutions
  • Generative AI
  • Agentic applications