AI Governance, Assurance & TEVV Specialist

Nixil; Canberra; On-site; AUD 120,000 - 180,000; Full time

Job summary

Nixil in Canberra is seeking an experienced AI Governance, Assurance and TEVV Specialist to evaluate AI-enabled solutions within a security-focused environment. You will assess AI systems for performance, security, reliability and responsible use, and review technical evidence and vendor claims.

The role emphasizes governance, risk management and clear guidance to stakeholders. Join a high-profile program requiring an NV1 clearance with potential upgrade to NV2, contributing to safe, responsible

Qualifications

• NV1 security clearance required with potential upgrade to NV2.
• Strong AI/ML technical background.
• Experience in systems engineering, TEVV and assurance.
• Knowledge of AI governance and Responsible AI principles.
• Ability to evaluate technical documentation, test results and vendor claims.
• Excellent analytical, problem-solving and stakeholder communication skills.
• Ability to convey complex technical findings to technical and non-technical audiences.
• Minimum NV1 clearance with upgrade potential to NV2.

Responsibilities

• Support the governance, assurance, TEVV of AI and ML solutions.
• Assess AI systems against technical, operational, security and responsible-AI requirements.
• Review evidence, performance results and vendor claims to determine fitness for purpose.
• Identify risks, limitations, dependencies and assurance gaps across the AI lifecycle.
• Develop or apply governance frameworks, assurance methodologies, evaluation criteria and reporting processes.
• Provide clear, evidence-based advice to technical teams and senior stakeholders.
• Contribute to the responsible adoption of generative AI and LLMs.

Skills

AI/ML expertise

Systems engineering

Technical assurance

AI governance

Analytical thinking

Stakeholder comms

Clear findings

Tools

Azure AI

AWS AI/ML

Job description

A minimum NV1 security clearance, with the ability to potentially upgrade to NV2.

Join a high-profile program supporting the safe, responsible and effective adoption of artificial intelligence within a complex, security-focused environment.

We are seeking an experienced AI Governance, Assurance and TEVV Specialist to evaluate AI-enabled solutions, assess technical evidence and ensure emerging technologies meet the required standards for performance, security, reliability and responsible use.

What You’ll Do

• Support the governance, assurance, test, evaluation, verification and validation (TEVV) of AI and machine-learning solutions.
• Assess AI systems against technical, operational, security and responsible-AI requirements.
• Review technical evidence, performance results and vendor claims to determine whether solutions are fit for purpose.
• Identify risks, limitations, dependencies and assurance gaps across the AI lifecycle.
• Develop or apply governance frameworks, assurance methodologies, evaluation criteria and reporting processes.
• Provide clear, evidence-based advice to technical teams, decision-makers and senior stakeholders.
• Contribute to the responsible adoption of generative AI, large language models and other emerging AI technologies.

What You’ll Bring

• A strong technical background in artificial intelligence and machine learning.
• Experience in systems engineering, test and evaluation, operational analysis or technical assurance.
• Demonstrated knowledge of AI governance and Responsible AI principles.
• The ability to critically evaluate technical documentation, test results, supporting evidence and vendor claims.
• Strong analytical, problem-solving and stakeholder communication skills.
• The ability to communicate complex technical findings clearly to both technical and non-technical audiences.
• A minimum NV1 security clearance, with the ability to potentially upgrade to NV2.

Highly Desirable

• Experience within Defence, National Security, the Australian Government or the Defence Industry.
• Practical knowledge of generative AI, large language models and retrieval-augmented generation.
• Experience with technologies or platforms such as Azure AI and AWS AI/ML.
• Familiarity with the risks, controls and assurance considerations associated with deploying AI in sensitive or mission-critical environments.