This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Security & Governance Engineer in South Africa.
This is an exciting opportunity for an experienced AI security professional to help shape the future of responsible AI in enterprise environments. In this role, you will design and implement advanced runtime protection mechanisms for AI-powered applications, ensuring governance, compliance, and operational safety at scale. You’ll collaborate with engineering, security, and governance teams to build resilient safeguards for LLM-based systems and intelligent workflows. The position offers a highly technical and strategic environment where innovation and risk management go hand in hand. Working remotely, you will contribute to mission-critical AI initiatives while helping organizations adopt secure, scalable, and trustworthy AI practices. This role is ideal for someone passionate about AI governance, automation, and enterprise-grade security engineering.
- Design and implement runtime AI protection mechanisms including prompt filtering, output validation, abuse prevention controls, and secure operational guardrails for enterprise AI systems.
- Build governance-by-design frameworks through automation, policy-driven enforcement, and scalable monitoring solutions that improve traceability, auditability, and compliance.
- Develop reusable AI safety standards and governance patterns that can be applied consistently across AI agents, workflows, and LLM-enabled platforms.
- Identify, assess, and mitigate AI-related risks such as hallucinations, prompt injection attacks, data leakage, and misuse scenarios in production environments.
- Collaborate cross-functionally with engineering, security, and governance stakeholders to deploy enterprise-grade AI safeguards and secure deployment processes.
- Support the creation of scalable governance architectures that balance innovation enablement with operational security and enterprise compliance requirements.
Requirements:
- 5–8 years of professional experience in security engineering, AI governance, or related enterprise technology roles.
- Strong hands-on expertise in Python scripting and automation, with experience developing secure validation and enforcement mechanisms.
- Proven experience working with policy-as-code frameworks, rule engines, governance systems, or automated compliance tooling.
- Solid understanding of AI security risks including prompt injection, hallucinations, misuse prevention, runtime controls, and data protection challenges.
- Familiarity with AI governance standards, responsible AI frameworks, and enterprise compliance best practices.
- Experience with enterprise platforms such as Saviynt, ServiceNow, IAM tools, or workflow approval systems is considered an advantage.
- Strong analytical thinking, problem-solving skills, and the ability to work independently in fast-paced remote environments.
- Bachelor’s degree in Computer Science, Information Technology, or a related field preferred.
Benefits:
- Fully remote work environment with flexibility and autonomy
- Opportunity to work on cutting-edge AI security and governance initiatives
- Exposure to enterprise-scale AI and LLM platforms
- Collaborative and innovation-driven technical environment
- Career growth opportunities in a rapidly evolving AI domain
- High-impact role influencing enterprise AI security strategies
- Fast-paced projects with opportunities to shape governance standards
- Competitive compensation package based on experience and expertise