1 Lead Microservices and AI Technical Architect

Hyperion IT; Canberra; Hybrid; AUD 180,000 - 240,000; Full time

Job summary

Department of Industry, Science and Resources in Canberra seeks a Lead Microservices and AI Technical Architect to provide technical leadership, shape cloud native platforms, and steer AI-enabled delivery across the service lifecycle.

You will drive modern engineering practices, govern architecture, mentor multidisciplinary teams, and partner with executives to deliver secure, scalable, and resilient solutions.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Cloud native architectures

Microservices

AI engineering

DevSecOps

CI/CD

Observability

Kubernetes

OpenShift

AKS

EKS

GKE

SRE

Stakeholder engagement

Leadership

Tools

Kubernetes

OpenShift

AKS

EKS

GKE

Job description

1 Lead Microservices and AI Technical Architect

Department of Industry, Science and Resources

ACT Baseline clearance Closes 14 September 2026 at 11:59pm

About the Role

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

Key duties
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, maintainability 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.

Requirements

Criteria
The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters.

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.

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.

Indicative Rate

Rate on application

If there is mutual interest, we will talk you through the rate structure and next steps in more detail.