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Lead Microservices and AI Technical Architect (One)
- RFQ ID: LH-07526
- RFQ closing date: Monday, 14 September 2026 • 11:59pm, Canberra time
- Buyer: Department of Industry, Science and Resources
- Estimated start date: Thursday, 01 October 2026
- Initial contract duration: 12 Months (Extension term:12 months, Number of extensions: 2)
- Experience level: Lead – EL2 equivalent
- Location of work: ACT
- Working arrangements: Hybrid (The buyer’s primary location is Canberra, ACT. The department supports flexible and remote working arrangements where operational requirements permit. To support a nationally distributed workforce and delivery model, the department maintains offices in all Australian capital cities and a network of regional offices across Australia. As a result, resources may be required to collaborate with stakeholders located throughout the country, with occasional travel to Canberra or other locations.)
- Maximum hours: 40 hours per week
- 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 AI across 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, 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.
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.
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.
Data Scientist
DEPARTMENT/ORGANISATION: Private institutions including First Nation Institutions
LOCATION: City in Northern Victoria (close to Melbourne)
EMPLOYMENT TYPE: Part-Time (Flexible arrangements available one day at site and 2 days from home – total 3 days in a week)
REMUNERATION: Attractive salary package + up to 15% salary packaging benefits (please send your expected salary)
Position outline
The role will perform and achieve complex to very complex data generation, modelling and analytical work under broad direction from executive leadership, ensuring reform initiatives are evidence-based, measurable and accountable.
The position will serve as a subject-matter expert, exercising independence, sound judgement, and decision-making to provide high-level technical advice that informs strategic, political, and operational outcomes for the organisation.
Duties and responsibilities
This position is responsible for the following:
Designing and implementing monitoring, evaluation and learning frameworks aligned with organisation priorities.
Developing economic, social and impact modelling, including forecasting, scenario analysis, cost-benefit and social return on investment (SROI) analysis.
Translating complex datasets into clear and actionable insights for executive and community audiences.
Establishing and maintaining data governance processes aligned with transparency, accountability and integrity principles.
Ensuring analytical methodologies align with First Nations data sovereignty principles and relevant legislative frameworks.
Engaging in complex problem solving and contributing to sensitive projects impacting strategic and operational outcomes.
Collaborating with First Nations leaders, Plan Champions and cross-sector stakeholders to co-design culturally informed data approaches.
Developing dashboards, performance reports and executive briefs to support regional governance structures.
Identifying and mitigating analytical, reputational and strategic risks.
Supporting team capability development, mentoring staff where required and contributing to continuous improvement initiatives.
Key skills and personal attributes required
Ability to:
Apply advanced analytical, statistical and data science methodologies to complex reform challenges.
Exercise sound judgement and provide high-quality strategic advice.
Communicate complex information clearly to audiences with varying levels of technical expertise.
Manage competing priorities within a dynamic reform environment.
Build collaborative and respectful relationships with First Nations communities and stakeholders.
Demonstrate cultural competence, humility and respect for First Nations protocols.
Contribute positively within a multidisciplinary and high-performing team.
Knowledge required
Knowledge and understanding of:
Data science, economic modelling, policy analytics and/or geospatial analysis fundamentals.
Monitoring and evaluation frameworks and impact measurement methodologies.
Legislative compliance, data governance and ethical data practices.
First Nations data sovereignty principles and culturally informed research approaches.
Regional development or community-led reform environments (desirable).
Qualifications or Experience required
Essential
Postgraduate qualification in Data Science, Economics, Statistics, epidemiology or related discipline.
Demonstrated experience delivering complex analytical projects.
Proven ability to influence stakeholders through evidence and insight.
Experience working in policy, reform or community-led environments.
Highly Desirable
Experience working with First Nations communities.
Knowledge of regional economic development frameworks.
Experience in financial modelling or social return on investment (SROI) analysis.
Selection Process
Shortlisted applicants may be required to:
Complete a written analytical task.
Deliver a 30-minute presentation to the selection panel.
Participate in a behavioural interview aligned to merit-based assessment principles.
How to Apply
Applicants are requested to submit:
A cover letter (maximum 2 pages) outlining suitability.
Curriculum Vitae.
Contact details for two referees.
Working conditions
A full and current driver’s license valid for driving in Victoria is essential
Must possess a current Working with Children Check.
- Collaborating with First Nations leaders, Plan Champions and cross-sector stakeholders to co-design culturally informed data approaches.
- Developing dashboards, performance reports and executive briefs to support regional governance structures.
- Identifying and mitigating analytical, reputational and strategic risks.
- Supporting team capability development, mentoring staff where required and contributing to continuous improvement initiatives.
