Senior AI Agent Deployment Engineer

Decagon

Australia

On-site

AUD 200,000 - 270,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
Dental & Vision
Life Insurance
Retirement Plan
Parental Leave
Fertility benefits
Wellness stipend
Office lunches
Vacation policy

Job summary

Decagon is hiring an Agent Deployment Engineer to lead end-to-end AI agent builds for strategic customers. You will own implementation, deployment, and scale of enterprise-grade agents, partnering with customers and internal teams to meet success criteria and timelines.

You will work with Agent PMs, Engineering, and GTM to surface gaps, drive platform improvements, and ensure reliable, scalable deployments.

Qualifications

  • 5+ years of experience in a technical customer-facing role.
  • Strong technical foundation: code, APIs, and end-to-end integrations.
  • Ability to communicate with senior technical stakeholders and translate requirements into plans.

Responsibilities

  • Own end-to-end architecture and execution of AI agent builds for enterprise customers.
  • Design and engineer core agentic logic for quality and reliability.
  • Engineer and validate guardrails and supervision for safe agent performance.
  • Architect, build, and test integrations with customer systems (data pipelines, CRMs, ticketing).
  • Interface with customers to define success criteria and requirements.
  • Diagnose and resolve failures via root-cause analysis of traces and logs.
  • Design evaluation and regression-testing frameworks for agent behavior.
  • Translate customer needs into internal docs and drive platform improvements.
  • Partner with APMs, Engineering, Design, and GTM to ensure repeatable builds.

Skills

Technical customer-facing experience
Code & API work
Stakeholder communication

Education

Computer Science/Engineering/Math degree

Tools

APIs
CRM integrations
Data pipelines

Job description

Decagon is hiring an Agent Deployment Engineer to lead end-to-end AI agent builds for strategic customers. You will own implementation, deployment, and scale of enterprise-grade agents, partnering with customers and internal teams to meet success criteria and timelines.

You will work with Agent PMs, Engineering, and GTM to surface gaps, drive platform improvements, and ensure reliable, scalable deployments.

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