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Acusensus United States

AI-driven traffic safety and enforcement systems

AI Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeA$179.2k - A$190.4k

About the Job

Requirements

  • Hands-on experience building multi-agent bots or AI solutions using large language model application programming interfaces, automation platforms such as n8n, Make or Power Automate, or machine-learning frameworks is essential.
  • A solid grounding in software architecture, application programming interface design and enterprise integration patterns is required.
  • Working knowledge of cybersecurity as it applies to artificial intelligence, including data privacy, prompt injection and access controls, is required.
  • Experience reviewing and guiding work from non-technical or less experienced colleagues is required.
  • Familiarity with AWS, Azure or GCP and their AI/ML services is required.
  • A Bachelor's degree in Computer Science, Software Engineering, IT or a related field, or at least five years of equivalent experience, is required.

Responsibilities

  • Review AI tools, automations and agents built by employees, and advise on architecture, model and tool selection, and integration patterns.
  • Assess solutions for security and data governance risk, including data handling, access controls and third-party exposure.
  • Connect AI solutions to internal systems and data sources, working with the CTO's team to avoid shadow-IT silos.
  • Troubleshoot hands-on when colleagues get stuck, and elevate existing internal tools to enterprise standards for security, scalability, maintainability and monitoring.
  • Ensure employee-built tools are documented and transferable so they continue operating when people change roles.
  • Own and maintain the central register of AI tools and agents, mapped to ISO 27001 controls.
  • Run a repeatable process for assessing AI vendors and data processing agreements, developed jointly with General Counsel.
  • Provide technical risk input to Legal's AI policies, support incident response, and drive remediation plans when a tool falls short of the standard.

Desired Qualifications

  • Experience with data governance frameworks and responsible AI principles is highly regarded.
  • Exposure to OWASP LLM Top 10, MITRE ATLAS or NIST AI RMF is highly regarded.

About the Company

Acusensus United States

AI-driven traffic safety and enforcement systems

Acusensus provides AI-powered road safety systems that automatically detect and enforce traffic safety laws, focusing on distracted driving from mobile phone use. Its technology includes driver-monitoring and computer-vision to identify unsafe behaviors like mobile phone use and speeding. The products work by deploying enforcement systems with sensors and cameras that monitor driving behavior, process video and data to detect violations, and enable governments and commercial partners to enforce rules automatically where violations are detected. The company differentiates itself by targeting government agencies and commercial stakeholders with scalable, deployable enforcement solutions, using AI and machine vision to automate detection and reduce manual monitoring. Its goal is to improve road safety by reducing dangerous driving behaviors and expanding enforcement capabilities beyond distraction to include speeding and other risky behaviors.

Company size
51-200
Company stage
IPO
Headquarters
Melbourne VIC, Australia
Founded
2018

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