Solutions Architect, Enterprise

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

Solutions Architect role focused on helping enterprise customers design and build cloud solutions, including AI-driven ones, on AWS. This involves acting as a technical advisor, translating business needs into technical solutions, and building prototypes. The role emphasizes understanding customer requirements and leveraging AWS technologies to accelerate innovation and adoption.

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

  • 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Experience understanding needs of business and end customers and translating them into right solutions
  • Experience explaining complex technical concepts to various business and technical audiences
  • 3–5 years of experience in solutions architecture, technical advisory, or a similar customer-facing technical role
  • Experience designing and implementing Well-Architected solutions in distributed systems and cloud architectures
  • Strong technical foundation in cloud architecture, data, AI/ML, and software development
  • Familiarity with modern architectures such as microservices, serverless, and event-driven systems

Nice to have

  • Experience working with AWS technologies from a dev/ops perspective
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
  • Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud), including designing, building, and deploying production workloads
  • Hands-on experience building or prototyping cloud, data, or AI/ML solutions
  • Experience designing or implementing AI/ML solutions, including Generative AI and Agentic applications
  • Experience presenting to a range of audiences, including developers, technical leaders, and business stakeholders
  • Experience with scripting, automation, or software development in languages such as Python, JavaScript, or s

What the JD emphasized

  • AI-driven solutions
  • design and implement AI/ML solutions
  • Generative AI
  • Agentic applications