AI Assurance Specialist

NTT DATA, Inc.; Canberra; On-site; AUD 150,000 - 210,000; Full time

Job summary

NTT DATA, Inc. in Canberra seeks an AI TEVV Specialist to provide expert leadership in evaluating and validating AI-enabled systems for Army capability development.

You will help establish governance frameworks, testing methodologies, and assurance processes to ensure security, reliability and operational effectiveness. The role includes reviewing AI-related policies and proposals, translating complex findings into actionable reports for senior leaders, and supporting cross-agency evaluation

Qualifications

• Experience developing, implementing and governing AI/ML solutions.
• Ability to review technical information, assess evidence and provide recommendations for decision-making.
• Experience preparing reports and briefs for senior stakeholders and decision-makers.
• Demonstrated experience applying AI governance, ethics, privacy, and security frameworks.

Responsibilities

• Lead the AI TEVV capability development for Army AI systems.
• Support governance, assurance and risk management frameworks.
• Review AI policies, submissions and proposals to inform capability development.
• Provide governance and assurance advice to support Army decision-making.

Skills

AI TEVV leadership

AI governance

Risk management

Systems engineering

Evaluation methodologies

Job description

• Utilise expertise in Technical Evaluation and Verification and Validation
• Initially until 30 June 2027 + 2x12 months extension options
• NV1 Security Clearance

The AI TEVV Specialist will provide specialist technical leadership to establish and mature Army's AI TEVV capability. The role will support the development of AI assurance frameworks, testing methodologies, governance processes and evaluation activities to ensure AI-enabled systems are secure, reliable, trustworthy, operationally effective and compliant with Defence policy, regulatory and assurance requirements. The position will also review AI-related policies, submissions and proposals, and provide governance and assurance advice to support Army decision-making, capability development and the implementation of AI-enabled capabilities.

• Develop, maintain and review Army AI governance and assurance artefacts, including AI Use Cases, System Cards, Model Cards and supporting documentation.
• Review AI-related policies, submissions, technical papers and proposals, providing advice on implications for Army capability development and decision-making.
• Support the implementation and continuous improvement of AI governance, assurance and risk management frameworks.
• Support AI assurance and Test, Evaluation, Verification and Validation (TEVV) activities, including assessment of AI-enabled systems, technical evidence, performance claims, limitations and risks.
• Contribute to the planning, coordination and oversight of evaluation activities conducted by Defence, industry, DSTG and other partner organisations.
• Translate technical findings into clear, concise reports, decision-support products and actionable advice for senior leaders.
• Identify risks, issues and opportunities associated with AI-enabled capabilities, recommending appropriate mitigation and management strategies.

Mandatory Criteria

• 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 experience applying AI governance, assurance, risk management, ethics, privacy, security or related frameworks to support technology-enabled capabilities.
• 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.