Own and improve AI agents that automate go-to-market workflows, from lead and account tasks to sales and marketing processes, while ensuring outputs are reviewable, reliable, and adopted by business teams.
AI Architect
π Description
- Review AI tools, automations, and agents built by employees, advising on architecture and integration patterns.
- Assess solutions for security and data governance risks, including data handling and access controls.
- Connect AI solutions to internal systems and data sources, collaborating with the CTO's team.
- Troubleshoot hands-on when colleagues encounter issues, elevating internal tools to enterprise standards.
- Maintain a central register of AI tools and agents, ensuring documentation and transferability.
π οΈ Requirements
- Hands-on experience building multi-agent bots or AI solutions using LLM APIs or automation platforms.
- Solid grounding in software architecture, API design, and enterprise integration patterns.
- Working knowledge of cybersecurity as it applies to AI, including data privacy and access controls.
- Experience reviewing and guiding work from less experienced colleagues.
- Familiarity with AWS, Azure, or GCP and their AI/ML services.
- Bachelor's degree in Computer Science, Software Engineering, IT, or equivalent experience (5+ years).
Full job description
About Us
Acusensus pioneers intelligent road safety enforcement solutions that can be rapidly deployed to address road safety challenges. Our mission is changing behaviours, saving lives. Founded in 2018, we combine advanced AI and hardware technology in fixed-location, trailer-based and vehicle-based enforcement solutions. They are used by governments across Australia, the US, the UK and New Zealand to tackle dangerous driver behaviour. We're a global team with some of the best (and smartest) people on the planet, and we solve hard problems together.
The Opportunity
AI adoption is strong at Acusensus, and the team is experimenting with building tools, automations and agents. As our AI Architect, you'll make sure those solutions are secure, connected, documented and built to last. You'll be the bridge between what the business needs and what good engineering looks like.
What you'll do:
- 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 lift existing internal tools to enterprise standard (secure, scalable, maintainable and monitored)
- Ensure employee-built tools are documented and transferable so they keep running 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
Requirements
About You
You're a technically rigorous AI builder who loves making complex things simple for others, and who knows when good enough is good enough.
You'll bring:
- Hands-on experience building multi-agent bots or AI solutions using LLM APIs, automation platforms (such as n8n, Make or Power Automate) or ML frameworks is essential.
- A solid grounding in software architecture, API design and enterprise integration patterns
- Working knowledge of cybersecurity as it applies to AI, including data privacy, prompt injection and access controls
- Experience reviewing and guiding work from non-technical or less experienced colleagues
- Familiarity with AWS, Azure or GCP and their AI/ML services
- A Bachelor's degree in Computer Science, Software Engineering, IT or a related field, or at least 5 years of equivalent experience
- 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.
Good to know
This is a hybrid role based in Melbourne or Sydney. Because we operate globally, you may occasionally work early mornings, evenings or weekends, and travel nationally at short notice. The role requires police and driving history checks.
Benefits
Why join us?
β¦ Lead the safe adoption of AI
You'll be the technical authority on how internal AI tools and agents are built, secured and run across the business. Solutions will be built right the first time, not retrofitted later.
β¦ Architecture with real breadth
You'll work across LLM APIs, automation platforms, cloud AI services and enterprise integration. You'll shape standards, own the AI asset register and set up the vendor assessment process.
β¦ Enable people, not just govern them
You'll partner with AI Champions in every business unit and help non-technical builders get unstuck. The aim is to protect the business without slowing down its pace of innovation.
Ready to be part of our mission? Apply now.
Visit www.acusensus.com.au/careers or submit your application directly through this advertisement. If you have any questions or would like to discuss the role in greater detail, please email careers@acusensus.com.
Acusensus is building a diverse and inclusive workplace where everyone feels valued, respected, and empowered to drive positive change. We're committed to fostering an environment where creativity and authenticity are celebrated. No matter your background, if you're passionate about making a difference, we encourage you to apply.
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