Senior AI Production Architect

Amazon Web Services; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Forward Deployed Engineer to embed with strategic enterprise customers and design, build, deploy, and run production AI systems alongside their engineering teams. You will own architectural decisions and craft reusable patterns to scale from prototype to enterprise deployment.

This role blends software engineering rigor with direct customer outcomes, leading across multiple workstreams and traveling 30–50% to drive successful AI programs and platform

Qualifications

• 5+ years of non‑internship professional software development experience.
• Experience leading design or architecture of new and existing systems.
• Experience mentoring, tech lead, or leading an engineering team.

Responsibilities

• Lead technical delivery across customer engagements.
• Own the technical strategy and execution for complex, multi-workstream AI programs.
• Architect and build production AI systems at scale.
• Design foundational architectures for complex customer engagements.
• Own production excellence across workstreams.
• Scale the team’s effectiveness and mentor junior FDEs.
• Accelerate customer transformation with reusable accelerators and platforms.

Skills

Software development

Programming

System design

Mentorship / technical leadership

Stakeholder communication

AI concepts

Agent-based systems

Education

Bachelor's degree in computer science or equivalent

Tools

AWS services

React

TypeScript

Python

Go

RAG pipelines

Prompt engineering

Evaluation frameworks

Job description

Amazon Web Services (AWS) is seeking a Forward Deployed Engineer to embed with strategic enterprise customers and design, build, deploy, and run production AI systems alongside their engineering teams. You will own architectural decisions and craft reusable patterns to scale from prototype to enterprise deployment.

This role blends software engineering rigor with direct customer outcomes, leading across multiple workstreams and traveling 30–50% to drive successful AI programs and platform