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WHO WE ARE:
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at www.accenture.com.
ACCENTURE SECURITY
Our Cyber Security business is rapidly growing, and we are hiring mid to senior level security professionals within a range of disciplines to support our goal and mission in doing our part to secure the most critical systems and organisations for our way of life to thrive in Australia.
This role is targeted to knowledgeable AI Security Consultant 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 conduct systematic research.
Ability to conduct technical risk assessments and mitigation on AI technologies, AI platforms and 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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