Forward Deployed AI Engineer II — Client‑Facing Production

Amazon Web Services

Sydney

On-site

AUD 180,000 - 240,000

Full time

2 days ago
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Job summary

Amazon Web Services is seeking a Forward Deployed Engineer II who embeds directly with enterprise customers to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. You will own end-to-end AI workstreams, deliver production-grade software, and coach others on best practices.

Responsibilities include designing cohesive AI systems, driving production deployment, monitoring, and optimizing for latency, reliability, and cost.

Qualifications

  • 3+ years of professional software development experience.
  • 2+ years in an Agile, startup, or rapidly scaling environment.
  • Experience communicating technical concepts to both technical and non-technical audiences.
  • Degree in Computer Science or related field, or equivalent professional experience.
  • Experience with agentic development (AI agents a plus).
  • Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering.

Responsibilities

  • Embed within customer engineering teams; translate requirements into technical designs for AI-enabled production systems. Travel 30–50%.
  • Design and develop production-grade software powering AI and agentic workflows; integrate data sources and existing applications.
  • Own production for your workstream; design, code, test, deploy, and maintain with CI/CD.
  • Mentor and uplift: coach others on high-quality code and review processes.
  • Accelerate customer adoption by codifying reusable patterns and accelerators.

Skills

Software development
Agile/ startup experience
Communicating technical concepts
Agentic development
AI tools & frameworks

Education

Bachelor’s in Computer Science or related field

Tools

React
TypeScript
Python
Go

Job description

Amazon Web Services is seeking a Forward Deployed Engineer II who embeds directly with enterprise customers to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. You will own end-to-end AI workstreams, deliver production-grade software, and coach others on best practices.

Responsibilities include designing cohesive AI systems, driving production deployment, monitoring, and optimizing for latency, reliability, and cost.

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