Manager AI Security Engineer

Our client in the Network Services is seeking a Manager: AI Security Engineer on a contract duration of 6 months.

The key objective of this role is to design build and operate the security controls that protect Artificial Intelligence (AI) and Large Language Model (LLM) systems. The role is hands-on and engineering-focused: developing and integrating AI security control components such as policy engines guardrails input/output filters AI firewalls and secure API / AI gateway configurations.

The role takes assurance threat and architecture findings and builds the controls that mitigate them engineering protective guardrails authoring and tuning policy-as-code and embedding security into AI/LLM pipelines and platforms across Fintech markets. Where the assurance function tests and verifies this role builds and hardens.

Education:

• Bachelors or Masters degree in Computer Science Software Engineering Information Security or related field.
• Relevant certification/accreditation/membership with professional body as required

Certifications (preferred):

• Cloud security / engineering certifications (Azure AWS or GCP Security).
• AI/ML security certifications and secure-AI engineering training.
• Secure coding / DevSecOps certifications.
• CISSP CSSLP or equivalent.

Experience:

• Minimum 810 years in security engineering or software engineering with at least 5 years building and operating security controls.
• Strong software and automation engineering ability (Python preferred).
• Demonstrable experience building guardrails policy engines content filtering or API security controls.
• Experience with policy-as-code frameworks (OPA/Rego or similar) and authorization engines.
• Experience integrating with LLM/AI platforms AI firewalls and API gateways and with MLOps pipelines.
• Experience designing secure data pipelines: encryption at rest and in transit tokenization and data masking.

Competencies:
Functional Knowledge:

• Deep understanding of AI/LLM security control design guardrails input/output filters policy engines and AI firewalls.
• Strong software engineering and automation skills including infrastructure- and policy-as-code.
• Policy-as-code and authorization frameworks (e.g. OPA/Rego).
• API security engineering (gateways OAuth2/OIDC mTLS rate limiting schema validation).
• Secure RAG agent and tool-use architecture patterns.
• DevSecOps and MLOps practices for embedding controls into delivery pipelines.
• Compliance with PSD2 GDPR PCI DSS POPIA and emerging AI regulation (e.g. EU AI Act).

Required Experience:

Manager

Employment Type : Contract
Experience: years
Vacancy: 1