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Job Description

  • Flexible work arrangements to meet your needs 

  • Work with cutting-edge technologies. 

  • Be yourself at work 



Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at 


Job Description

This role is targeted to knowledgeable AI Security Engineer who will be providing security consultation, audits and assessments in various AI technologies and platforms. The ideal candidate will be motivated and possess strong sense of curiosity, while staying ahead of AI trends, risk and opportunities. The AI Security Consultant will be keen to build strong relationships with clients, becoming a trusted advisor on all matters related to AI Security. The AI Security Consultant is required to work independently and also in a group setting, to achieve the best outcome for client and Accenture.

Skills Required:

Key technical skills expected:

  • Ability to understand and analyse client business requirements in using Generative AI or AI technologies

  • Ability in researching and verifying security measures for AI and ML systems, models, and methodologies across the entire AI and data science lifecycle.

  • Fundamental understanding of Generative AI technologies (including foundation models), Natural Language Processing (NLP), Deep learning (DL), , AI and Data science lifecycle and Machine learning operations (MLOps)

  • Basic knowledge of Data protection (e.g. encryption, masking, data loss prevention) and privacy preserving techniques (e.g. federated learning, differential privacy)

  • Basic knowledge of the AI regulatory environment both in Australia and globally.

  • Proficient in conducting comprehensive research, gathering relevant data, and effectively communicating these insights to key stakeholders.

  • Ability to secure infrastructure components, cloud-based AI platform and containerized technologies (eg. Docker and Kubernetes etc)

  • Ability to secure AI deployment, including secure data handling, model validation and model deployment

  • Ability to secure cloud infrastructure, (eg. Azure, AWS, GCP, etc)

  • Ability to conduct systematic research.

  • Ability to conduct technical risk assessments and mitigation on AI technologies, AI platforms and associated underlying Cloud/Infrastructure platform

  • Ability to convey business needs around AI and translate them into actionable plans

  • Ability to gather requirements and perform business process analysis around AI

Demonstrable knowledge and experience in some of the following cyber security disciplines:

  • Identity and Access Management

  • Cloud Security (including containerised / micro-services platform)

  • Network/Infrastructure Security

  • Application Security & DevSecOps

  • Penetration Test and Threat hunting

  • Security Risk and Compliance frameworks such as PSPF/ISM


Desirable Skills:

  • Baseline Security Clearance or the ability to obtain security clearance

  • Cloud certifications from one of the major public cloud providers (e.g. AWS, Azure, GCP)

  • Cybersecurity certifications (e.g. CISSP, CCSP)

  • AI/ML related certifications (e.g. Azure AI Engineer Associate, AWS Certified Machine Learning)

  • MLOps architecture and frameworks

  • Major Cloud service providers' offerings and architectures related to AI/ML services (e.g. AWS SageMaker, Azure ML)

  • Responsible AI framework

  • NIST AI Risk Management framework

  • Enterprise architecture frameworks (e.g. SABSA, COBIT, TOGAF)

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