Lead AI & Microservices Architect

Salary: Competitive rates depending on experience.

About Us

Moraitis Consulting (trading as Moraitis Engineering AU) stands as a trusted partner to Government and industry. We deliver strategic leadership and specialised talent that enable organisations to achieve their goals and drive sustainable success. Beyond recruitment and labour hire, Moraitis Consulting provides a comprehensive suite of ICT consulting services, including digital transformation, strategic advisory, business analysis, project management, cyber security, ICT policy development, and project administration. These capabilities enable us to deliver superior outcomes for our clients and our people.

About Opportunity

Our client, a large Federal Government department, is seeking an experienced Lead Microservices & AI Technical Architect to provide technical leadership for the design, governance, and evolution of cloud-native, microservices-based, and AI-enabled platforms. The successful consultant will influence engineering decisions, guide the adoption of AI across the software delivery lifecycle, and drive technology modernisation initiatives that support secure, scalable, and resilient business-critical systems.

This exciting opportunity sits within a major business application transformation program establishing enterprise Microservices and Event-driven Architecture foundations while embedding AI-enabled engineering practices across software delivery. The role offers the opportunity to work on cutting-edge technologies and contribute to significant digital transformation outcomes.

Key Requirements

• Australian Citizenship is mandatory.
• Current Baseline Clearance is desirable but not mandatory.
• Interstate and remote candidates are encouraged to apply.
• Occasional travel may be required.

Key duties and responsibilities

• Provide technical leadership and architectural governance for cloud-native, microservices, event-driven, and AI-enabled platforms.
• Establish modern engineering practices including AI-enabled SDLC, DevSecOps, CI/CD, observability, automated testing, and platform engineering standards.
• Lead technology modernisation initiatives and platform adoption activities.
• Drive the implementation of scalable, reliable, secure, and resilient solutions.
• Guide architecture decisions and influence technical direction across delivery teams.
• Build organisational capability through mentoring, knowledge transfer, and engineering governance.
• Foster a culture of innovation, collaboration, and continuous improvement