AI Security Engineer Senior Analyst

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world's largest network of Advanced Technology and Intelligent Operations centres. Our 801,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at 's Security Practice is one of the fastest growing areas of the business with significant growth plans through additional recruitment and acquisitions. Our Secure AI team supports clients across multiple sectors to securely enable AI Digital Reinvention and accelerate adoption.

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• Execute routine threat modelling for standard AI systems (e.g. basic LLMs, simple RAG pipelines) using provided templates and checklists.
  
• Conduct risk assessments for low-to-moderate complexity AI use cases.
  
• Configure, implement, and test predefined security controls and guardrails in AI pipelines and APIs.
  
• Integrate security checks into existing DevSecOps/MLOps workflows.
  
• Collaborate with developers and data scientists to provide standard security patterns and answer routine integration questions.
  
• Support security monitoring integration for AI systems.
  
• Support the execution of security testing for AI systems.
  

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• Bachelor's degree in Computer Science, Data Science, Cybersecurity, or a related technical field.
  
• Professional certifications such as CompTIA Security+, CCSP, or entry‑level AI security credentials.
  
• Familiarity with AI/ML security tools and platforms (e.g., LangGuard, ProtectAI, or open‑source guardrail libraries).
  
• Proven experience (2-4 years) in security engineering, DevSecOps, or AI/ML operations, with exposure to securing ML pipelines.
  
• Working knowledge of AI security frameworks and guidance such as NIST AI RMF, OWASP AI Security Project, MITRE ATLAS, and CSA AI Controls.
  
• Strong analytical mindset with ability to follow structured processes independently on routine tasks.
  
• Comfortable working collaboratively in cross‑functional teams and managing multiple routine deliverables.
  
• Experience in conducting security assessments and audits.
  
• Experience executing security scans and validations in CI/CD pipelines for AI/ML workloads.
  
• Knowledge of secure configuration for cloud AI services (e.g. AWS SageMaker, Azure ML, Vertex AI).
  
• Understanding of AI‑specific threats and mitigations (e.g., adversarial attacks, data poisoning).
  
• Proficiency in scripting/automation (Python, Bash) for guardrail implementation and testing.
  
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow) and their security integration points.
  
• Excellent verbal and written communication for documenting findings and explaining basics to technical peers.
  
• Ability to handle routine stakeholder interactions, such as providing security feedback in standups or reviews.
  

In addition to a competitive base salary, you will also have an extensive benefits package which includes pension, private health insurance, discounted gym membership, emergency caring facilities, and 2 days' leave per year for charitable work of your choice. Flexible working arrangements can be discussed depending on the position.

Please advise if you have any particular requirements, so we can look into arranging reasonable adjustments to the recruitment process. You can contact us at

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