AI-Powered Cloud Delivery Leader (ProServe)

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 183,000 - 247,000

Full time

7 hours ago
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Job summary

Amazon Web Services, Inc. in Seattle seeks an AI Driven Delivery Consultant for AWS ProServe to design, implement, and manage agentic solutions that meet technical requirements and business objectives.

You will leverage AI driven workflows to architect complex, scalable, and secure AWS solutions, working with stakeholders to define customer outcomes and lead build and implementation while following best practices, security, and risk management.

Qualifications

  • 8+ years of cloud architecture and solution implementation experience.
  • Bachelor's degree in Computer Science, Math, or a related field.
  • Experience managing and delivering large-scale enterprise IT projects.
  • Experience as a technical specialist in customer-facing roles.
  • Experience with software development life cycle (SDLC) and agile/iterative methodologies.

Responsibilities

  • Designing, building, and delivering scalable AWS solutions tailored to customer needs.
  • Providing technical guidance and troubleshooting throughout project delivery.
  • Collaborating with stakeholders to identify outcomes and delivery strategies.
  • Acting as a trusted advisor to customers on industry trends and emerging technologies.
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.

Skills

Cloud architecture
Project delivery
Customer-facing
SDLC & Agile
Technical expertise

Education

Bachelor's degree in Computer Science, Math, or a related field

Tools

AWS services

Job description

Amazon Web Services, Inc. in Seattle seeks an AI Driven Delivery Consultant for AWS ProServe to design, implement, and manage agentic solutions that meet technical requirements and business objectives.

You will leverage AI driven workflows to architect complex, scalable, and secure AWS solutions, working with stakeholders to define customer outcomes and lead build and implementation while following best practices, security, and risk management.

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