AI Governance Specialist

Bridge IT Engineering; Canberra; On-site; AUD 150,000 - 190,000; Full time

Job summary

Bridge IT Engineering in Canberra is seeking an experienced AI Governance / Assurance Specialist for a 9-month contract with extension options. The role focuses on assessing AI/ML capabilities through governance, assurance, risk and technical evidence.

You will work with technical, operational, policy and governance teams to review claims, evidence and documentation, and to provide balanced, risk-informed advice to senior decision-makers.

Qualifications

• Minimum 5 years’ experience developing, implementing, managing, assuring, testing, evaluating or governing AI, machine learning, data-driven or advanced technology solutions.
• Experience applying engineering, systems engineering, risk, assurance, operational analysis, experimentation, test and evaluation to complex real-world problems.
• Strong ability to assess technical evidence, documentation, performance claims, assumptions and risks.
• Experience preparing reports, briefs, submissions or technical advice for senior stakeholders and decision-makers.
• Demonstrated experience working across technical, governance, operational or policy functions.
• Australian citizenship and a current NV1 security clearance minimum.

Responsibilities

• Assess AI, machine learning, data-driven and advanced technology solutions against governance, assurance, risk and operational requirements.
• Review technical documentation, performance claims, assumptions, evidence and risks.
• Support assurance, verification, validation, test and evaluation, systems engineering, experimentation or operational analysis activities.
• Develop, review and apply governance frameworks, assurance frameworks, standards, policies and risk management approaches.
• Translate business, operational and capability requirements into practical technology-enabled outcomes.
• Prepare reports, briefs, submissions, technical assessments and decision-support advice for senior stakeholders.
• Engage with technical, operational, governance and policy stakeholders across complex environments.
• Support the application of responsible AI, ethical AI, privacy, security, model assurance and technology risk principles.

Skills

AI governance

Assurance

Risk assessment

Governance frameworks

Technical evidence review

Policy engagement

Stakeholder communication

Senior advisory

Security clearance NV1

Education

STEM degree or equivalent experience

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Power BI

Tableau

Azure AI

AWS AI/ML

Google Cloud AI

Job description

Contract: 9 months + 2 x 12-month extension options

Clearance: Current NV1 Security Clearance minimum required

Bridge IT is seeking an experienced AI Governance / Assurance Specialist to support a Federal Government environment in Canberra. This role is focused on assessing AI, machine learning and advanced technology solutions through a governance, assurance, risk and technical evidence lens.

The successful candidate will work across technical, operational, policy and governance functions to assess AI/ML capability claims, review evidence, support assurance activities and provide balanced, risk-informed advice to senior decision-makers.

Key Responsibilities

• Assess AI, machine learning, data-driven and advanced technology solutions against governance, assurance, risk and operational requirements.
• Review technical documentation, performance claims, assumptions, evidence and risks.
• Support assurance, verification, validation, test and evaluation, systems engineering, experimentation or operational analysis activities.
• Develop, review and apply governance frameworks, assurance frameworks, standards, policies and risk management approaches.
• Translate business, operational and capability requirements into practical technology-enabled outcomes.
• Prepare reports, briefs, submissions, technical assessments and decision-support advice for senior stakeholders.
• Engage with technical, operational, governance and policy stakeholders across complex environments.
• Support the application of responsible AI, ethical AI, privacy, security, model assurance and technology risk principles.

To be successful, you will have:

• A relevant tertiary qualification in Engineering, Computer Science, Artificial Intelligence, Data Science, Machine Learning, Systems Engineering, Software Engineering, Mathematics, Physics, Statistics or another STEM discipline, or equivalent professional experience.
• Minimum 5 years’ experience developing, implementing, managing, assuring, testing, evaluating or governing AI, machine learning, data-driven or advanced technology solutions.
• Experience applying engineering, systems engineering, risk, assurance, operational analysis, experimentation, test and evaluation or similar methodologies to complex real-world problems.
• Strong ability to assess technical evidence, documentation, performance claims, assumptions and risks.
• Experience preparing reports, briefs, submissions or technical advice for senior stakeholders and decision-makers.
• Demonstrated experience working across technical, governance, operational or policy functions.
• Australian citizenship and a current NV1 security clearance minimum.

Highly Desirable

Experience across some of the following would be highly regarded:

• Defence, Defence Industry, DSTG, National Security or Commonwealth Government environments.
• Generative AI, Large Language Models, Retrieval-Augmented Generation, prompt engineering, autonomy, computer vision or advanced analytics.
• AI governance, responsible AI, ethical AI, model assurance, technology risk or assurance frameworks.
• Verification, validation, assurance, certification, accreditation, IV&V, test and evaluation or capability assurance.
• Cloud-based AI and machine learning platforms such as Microsoft Azure AI, AWS AI/ML or Google Cloud AI.
• Python, TensorFlow, PyTorch, Scikit-learn or similar AI/ML frameworks.
• Model Cards, System Cards, Use Case documentation, Assurance Cases or equivalent governance artefacts.
• MLOps, DevOps, model lifecycle management or operational deployment of AI/ML solutions.
• Power BI, Tableau or other data visualisation tools.
• Technical leadership, project management, workshops, stakeholder engagement or change management for AI, digital or emerging technology initiatives.

*only shortlisted applications will be contacted.