As the Senior AI Security Consultant for the BusinessSG initiative, you will be the primary security architect guiding our transition to a proactive AI-driven platform. You will be embedded within a 10-man Discovery Squad, working alongside AI engineers and product leads to ensure that autonomous AI workflows—operating via messaging interfaces and a unified data hub—are secure, transparent, and resilient.
Your mission is to ensure every AI action is auditable and non-repudiable, protecting multi-agency data sources while maintaining the highest standards of public trust.
Key Responsibilities
- Security Architecture & Threat Modeling
- System Design: Lead the design of security guardrails for AI agents to prevent them from taking unauthorized legal or financial actions.
- Threat Modeling: Map out potential risks for autonomous AI, such as users trying to "hijack" the agent's intent or tricking it into accessing data it shouldn't.
- Human-in-the-Loop: Design workflows that ensure high-stakes AI decisions (like grant recommendations) cannot proceed without explicit, authenticated human approval.
- Reliable Audit & Explainability
- Audit Trails: Build a "Chain of Custody" for AI decisions by logging what the agent "thought," what specific data it retrieved, and which model version was used.
- Reproducibility: Ensure that AI actions are documented well enough to be reconstructed and explained to auditors or stakeholders.
- Data Governance: Ensure the AI only accesses integrated agency data on a strict "need-to-know" basis.
- Testing & Advanced Privacy (Preferred)
- Security Testing: Conduct proactive testing to find vulnerabilities in how the AI processes instructions or uses external tools.
- Advanced Privacy: Implement specialized privacy technologies to protect sensitive business information within our unified data hub.
Required Competencies & Experience
Experience Profile
- 6–10 years of experience in Cybersecurity, with at least 2–3 years focused on AI/ML systems or securing LLM-based applications.