Lead Microservices & AI Technical Architect

XPT Software Australia; Canberra; On-site; AUD 180,000 - 240,000; Full time

Job summary

XPT Software Australia in Canberra seeks a Lead Microservices & AI Technical Architect to shape cloud-native architectures and drive AI-enabled platform delivery. You will influence engineering decisions, establish modern SDLC practices and champion secure, scalable service delivery.

The role requires extensive experience in enterprise architecture, AI engineering and platform engineering, with strong stakeholder engagement and leadership across multidisciplinary teams.

Qualifications

• Extensive experience designing, implementing and governing cloud native, microservices and event driven architectures within complex enterprise environments.
• Expertise in AI engineering and AI enabled solution delivery, including semantic search and ML solutions.
• Strong software and platform engineering capability, incl. DevSecOps, CI/CD, testing, observability and secure-by-design practices.
• Proven leadership in technology modernisation, governance and driving improvements in reliability and security.
• Exceptional stakeholder engagement and leadership with senior executives and delivery partners.

Responsibilities

• Provide technical leadership and architectural authority for cloud-native, microservices and AI platforms.
• Lead adoption of modern engineering and AI delivery practices across the SDLC.
• Drive platform modernization, containerisation and integration of enterprise systems.
• Transfer knowledge and uplift engineering maturity through governance and multidisciplinary teams.

Skills

Cloud-native arch

Microservices

AI engineering

DevSecOps

CI/CD

Observability

Security by design

Platform engineering

Stakeholder leadership

Enterprise governance

Job description

Position: Lead Microservices & AI Technical Architect

Security clearance: Must be able to obtain Baseline

Job details

The role will provide technical leadership, influence system builds and engineering decisions, guide the adoption of AIacross the service deliver lifecycle and ensure capability transfer occurs throughout delivery.

Key Duties And Responsibilities

The successful candidate will be required to,

Provide technical leadership and architectural authority for the design, governance and evolution of cloud native, microservices based and AI enabled platforms, ensuring alignment with enterprise architecture, security and business transformation objectives.

Lead the establishment of modern engineering and AI delivery practices, including AI enabled software development lifecycle (SDLC), DevSecOps, CI/CD, observability, automated testing and platform engineering standards that support secure, scalable and reliable service delivery.

Drive technology modernisation and platform adoption, including microservices enhancement, containerisation, integration of enterprise systems and implementation of reusable patterns that improve scalability, maintain ability and operational resilience.

Build organisational capability and technical maturity through knowledge transfer, engineering governance and leadership of multidisciplinary teams, fostering engineering excellence and continuous improvement.

Criteria

Essential Criteria

• Extensive experience designing, implementing and governing cloud native, microservices and event driven architectures within complex enterprise environments, delivering scalable, resilient and secure business critical platforms.
• Demonstrated expertise in AI engineering and AI enabled solution delivery, including the development, deployment and operationalisation of enterprise AI capabilities, semantic search, machine learning solutions and responsible AI practices.
• Strong software engineering and platform engineering capability, including modern development frameworks, DevSecOps, CI/CD, automated testing, observability, security by design and operational excellence.
• Proven ability to lead enterprise technology modernisation and transformation initiatives, providing technical direction, influencing architecture decisions and delivering measurable improvements in platform reliability, security, scalability and engineering maturity.
• Exceptional stakeholder engagement, communication and leadership skills, with demonstrated experience leading multidisciplinary teams, delivery partners and senior executives and translating complex business requirements into practical technology outcomes.

Desirable criteria

• Experience designing, implementing and operating container platforms using technologies such as Kubernetes, OpenShift, AKS, EKS or GKE, including platform automation, governance and workload management.
• Experience with cloud platform modernisation, Site Reliability Engineering (SRE), platform engineering, observability tooling and enterprise scale automation practices.
• Experience leading delivery within Agile environments, including coaching geographically dispersed teams, driving capability uplift and fostering a culture of collaboration, innovation and continuous improvement.