AI Governance, Assurance & TEVV Specialist – Defence AI | NV1 | Canberra

Australian citizenship required. Must have an active Negative Vetting Level 1 (or higher) security clearance.

1. A tailored resume in docx format
2. A statement of applicability addressing your relevant experience and qualifications
3. Two referees, preferably including at least one ADF/APS referee where applicable
4. Copies of essential professional qualifications, licences, certifications or registrations

• RFQ ID: 17458
• Agency: Department of Defence – Army
• Closing Date: 18 September 2026 at 10:00am
• Estimated Start Date: 12 October 2026
• Initial Contract Duration: 12 October 2026 to 30 June 2027
• Extension Term: 12 months
• Number of Extensions: Two
• Experience Level: Level 3 – Advanced Practitioner
• Security Clearance: Minimum NV1 at commencement; must be maintained or exceeded throughout the contract
• Location of Work: Land Network Integration Centre, Symonston, ACT
• Working Arrangements: Services are expected to be delivered onsite. Interstate and international travel may be required.
• Maximum Hours: 158 days during the initial term; up to 40 hours per week and 8 hours per day

The Land Network Integration Centre is seeking a specialist to help establish and mature Army’s Artificial Intelligence Test, Evaluation, Verification and Validation capability.

You will provide technical leadership across AI governance, assurance and evaluation, independently assessing the performance, security, reliability, trustworthiness and operational suitability of AI-enabled systems. Your work will support evidence-based, risk-informed decisions and the safe, responsible adoption of AI capabilities across Army.

The position supports Army-led assurance activities and the review and interpretation of assessments conducted by industry, DSTG and other organisations. It also contributes to AI assurance frameworks, testing methodologies, governance processes and advice for senior capability decision-makers.

This is a new position reporting directly to the SO1. One key person is required for the duration of the engagement; shared-service arrangements are not suitable.

• →Develop, maintain and review Army AI governance and assurance artefacts, including AI Use Cases, System Cards, Model Cards and related documentation.
• →Review AI-related policies, submissions, technical papers and proposals, and advise Army on their implications.
• →Support the implementation and continuous improvement of Army’s AI governance and assurance arrangements.
• →Analyse complex technical, operational and policy issues and provide evidence-based advice to decision-makers.
• →Engage with Defence, industry, academia and other government organisations.
• →Build productive stakeholder relationships and coordinate contributions to AI-related initiatives.
• →Support AI assurance and TEVV activities, including assessments of AI-enabled systems, technical evidence, performance claims, limitations and risks.
• →Contribute to the planning, coordination and oversight of evaluations undertaken by Defence, industry, DSTG and other organisations.
• →Assist Army in acting as an informed customer and assurance authority for third-party AI activities.
• →Translate technical findings into clear, actionable advice, reports and decision-support products.
• →Identify risks, issues and opportunities associated with AI-enabled capabilities and recommend appropriate responses.
• →Capture and transfer knowledge, stakeholder relationships and lessons learned to support workforce continuity and capability development.

• Artificial intelligence and machine learning systems
• AI governance, assurance, responsible AI and technology risk management
• Test, Evaluation, Verification and Validation
• Systems engineering and operational analysis
• Model Cards, System Cards, Use Case documentation and Assurance Cases
• Generative AI, large language models and Retrieval-Augmented Generation
• Cloud AI and machine learning platforms
• Python and machine learning frameworks
• MLOps, DevOps and model lifecycle management
• Technical evidence, vendor claims and system-performance assessment

The Land Network Integration Centre advises and directs Army’s digital network integration activities to maximise interoperability across Land, Joint and Coalition boundaries.

Its AI Governance and Assurance team enables the adoption of AI-enabled capabilities through governance, assurance and decision support. The team develops governance artefacts, advises senior stakeholders, engages external partners and conducts or oversees AI assurance and TEVV activities.

Candidates should demonstrate one or more of the following:

• Relevant tertiary qualification in Engineering, Computer Science, Artificial Intelligence, Data Science, Machine learning, Operational Analysis, Systems Engineering, Software Engineering, Mathematics, Physics, Statistics, or another relevant STEM discipline, or equivalent demonstrated professional experience.
• Minimum five years' experience developing, implementing, managing, assuring, testing, evaluating, or governing AI, machine learning, data-driven, or other advanced technology solutions.
• Demonstrated experience applying engineering, systems engineering, risk, assurance, operational analysis, experimentation, test and evaluation, or similar methodologies to complex real-world problems.
• Demonstrated ability to review technical information, assess evidence, and provide recommendations to support informed decision-making.
• Experience preparing reports, briefs, submissions, or advice for senior stakeholders and decision-makers.
• Demonstrated ability to translate business, operational, and capability requirements into practical technology-enabled outcomes.
• Experience engaging and collaborating with diverse stakeholder groups across technical, operational, and governance functions.
• Demonstrated experience applying AI governance, assurance, risk management, ethics, privacy, security or related frameworks to support technology-enabled capabilities.
• Australian citizenship and the ability to obtain and maintain an appropriate Defence security clearance.
• Demonstrated understanding of AI and machine learning systems, including an ability to assess technical documentation, performance claims, evidence and risks.
• Demonstrated experience developing, reviewing or applying governance frameworks, policies, assurance frameworks, standards or risk-management approaches in a technology, engineering, capability, regulatory or operational context.
• Demonstrated ability to interpret policy, governance and regulatory requirements and translate them into practical implementation approaches and decision-support advice.
• Demonstrated experience planning, conducting, supporting, assessing or overseeing assurance, verification, validation, test and evaluation, systems engineering, experimentation or operational analysis activities.
• Demonstrated ability to critically assess technical evidence, assumptions, claims and recommendations, and provide balanced, risk-informed advice to senior decision-makers.
• Demonstrated experience working at the intersection of technical, governance, operational or policy functions.

Candidates should demonstrate one or more of the following:

• Postgraduate qualification in Artificial Intelligence, Machine Learning, Data Science, Systems Engineering, Test and Evaluation, Operational Analysis, or a related discipline.
• Experience delivering AI, machine learning, data science, advanced analytics, or technology-enabled solutions within Defence, Defence Industry, DSTG, National Security, Commonwealth Government, or other complex organisations.
• Experience with Generative AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, autonomy, computer vision, machine learning systems, or advanced analytics capabilities.
• Experience supporting verification, validation, assurance, certification, accreditation, test and evaluation, or capability assurance activities.
• Experience developing or implementing AI governance, responsible AI, assurance, risk management, compliance, privacy, security, or ethical AI frameworks.
• Experience using cloud-based AI and machine learning platforms, including Microsoft Azure AI, AWS AI/ML, Google Cloud AI, or equivalent technologies.
• Demonstrated project management, technical leadership, or delivery experience for AI, digital, data, or emerging technology initiatives.
• Experience assessing contractor, vendor, or supplier technical performance, capability claims, and solution effectiveness.
• Experience acting as a customer representative, technical authority, assurance authority, evaluator, or Independent Verification and Validation (IV&V) function.
• Relevant industry certifications in AI, machine learning, cloud AI services, systems engineering, or related disciplines (e.g. Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty).
• Experience with AI and machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn, and proficiency in Python or similar programming languages.
• Experience developing, maintaining or applying assurance artefacts such as Model Cards, System Cards, Use Case documentation, Assurance Cases or equivalent governance and assurance products.

Candidates may also demonstrate one or more of the following:

• Knowledge of Defence digital transformation, ICT, capability acquisition, integration, and sustainment frameworks.
• Experience with data visualisation and business intelligence tools, such as Power BI, Tableau, or equivalent platforms.
• Experience in MLOps, DevOps, model lifecycle management, and operational deployment of AI and machine learning solutions.
• Familiarity with natural language processing (NLP), computer vision, predictive analytics, digital engineering, or other advanced data analytics techniques.
• Experience delivering training, workshops, stakeholder engagement activities, or change management initiatives to support AI adoption and digital transformation.
• Experience assessing contractor, vendor, or supplier performance claims, technical deliverables, and solution effectiveness.
• Experience applying AI governance, responsible AI, ethical AI, model assurance, or technology risk management principles.
• Experience preparing assurance reports, technical assessments, capability evaluations, or decision-support recommendations.
• Experience supporting technology trials, demonstrations, experimentation, prototyping, or operational evaluations.
• Relevant professional certifications, industry training, or additional qualifications in Artificial Intelligence, Machine Learning, Data Science, Systems Engineering, Cloud Technologies, Cyber Security, Test and Evaluation, Operational Analysis, or Risk Management.

We know the government ICT market and we keep things straightforward. We take time to understand your background, your goals and the type of role that suits you. We believe transparency is about more than rates and our margins are fair and always disclosed.

1. Fair, disclosed margins
2. Clear communication at every stage
3. Honest advice on fit and competitiveness
4. Visibility on submissions and process status
5. A professional and respectful experience

You choose what's best for you.

1. PAYG through Pinaka
2. Third-party payroll
3. Self-employed (own ABN)
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