Senior AI Governance & Risk Consultant

Accenture PLC; Canberra; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

18 weeks paid parental leave

Long & short-term career break

Structured career development program

Local and international career options

Family Inclusive Workplace™

Flexible Work Arrangements

Diversity & Inclusion recognition

Job summary

Accenture is seeking a Senior Consultant to deliver AI governance, risk, and control design services for clients adopting Generative AI and ML. You will work with security, risk, engineering and data teams to assess AI systems end-to-end, ensuring controls cover data, models, infrastructure, inference and outputs.

The role requires translating architectures into practical risk and control artefacts and aligning them with regulatory frameworks.

Qualifications

• 3+ years in technology risk, cyber security, or technical consulting delivering client-facing engagements.
• Strong understanding of AI/ML and Generative AI architectures.
• Experience mapping technical security controls, not just process controls.
• Ability to communicate complex risk across models, data, and infrastructure to customers.
• Strong written and verbal communication skills, including visualising outputs in documents and slides.

Responsibilities

• Deliver Secure AI strategy and risk consulting projects.
• Lead complex projects and educate clients on AI use cases with clear ROI.
• Conduct risk assessments across GenAI and ML workloads.
• Map technical controls across AI models, platforms, and pipelines.
• Translate architectures into actionable risk, control, and assurance artefacts.
• Support clients in operationalising AI governance and control models.

Skills

Technology risk

Cyber security

AI/ML understanding

Communication skills

Tools

Visio

PowerPoint

Word

Job description

Accenture is seeking a Senior Consultant to deliver AI governance, risk, and control design services for clients adopting Generative AI and ML. You will work with security, risk, engineering and data teams to assess AI systems end-to-end, ensuring controls cover data, models, infrastructure, inference and outputs.

The role requires translating architectures into practical risk and control artefacts and aligning them with regulatory frameworks.