Forward-Deployed AI Engineer for Enterprise Systems

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 144,000 - 194,000

Full time

7 days ago
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Job summary

Amazon Web Services, Inc. seeks a Forward Deployed Engineer II to embed with strategic enterprise customers, design and deploy AI-powered production systems, and own end-to-end delivery from requirements to production. You will write production-grade software and influence architecture decisions.

As an autonomous contributor, you will mentor teammates, drive high-quality code reviews, and accelerate customer adoption by codifying reusable patterns and accelerators for future deployments.

Qualifications

  • 3+ years of professional software development experience.
  • Experience in Agile, startup, or fast-scaling environments.
  • Ability to communicate technical concepts to diverse audiences.
  • Degree in computer science or equivalent professional experience.

Responsibilities

  • Embed within customer engineering teams to understand business value and translate to technical designs.
  • Design, develop, and deploy production-grade AI-powered applications and workflows.
  • Own end-to-end lifecycle: scoping, design, code, test, deployment, and operations.
  • Mentor teammates and coach on high-quality coding practices and reviews.
  • Identify opportunities to expand AI adoption and codify reusable patterns.

Skills

3+ years of software development
Agile / startup environment
Communication skills
Agentic AI / AI systems

Education

Degree in Computer Science or related field, or equivalent

Tools

React
TypeScript
Python
Go

Job description

Amazon Web Services, Inc. seeks a Forward Deployed Engineer II to embed with strategic enterprise customers, design and deploy AI-powered production systems, and own end-to-end delivery from requirements to production. You will write production-grade software and influence architecture decisions.

As an autonomous contributor, you will mentor teammates, drive high-quality code reviews, and accelerate customer adoption by codifying reusable patterns and accelerators for future deployments.

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