GovTech
Government
SeniorAISecurityConsultant
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Security Consultant at GovTech. Skills: AI Security, LLM Security, Cloud Security. Lead security guardrails design. Map out potential risks”
What You'll Achieve.
Ensure AI actions auditable; Ensure AI actions non-repudiable; Protect multi-agency data sources; Maintain public trust standards
Industry & Context.
Threat Modeling; Root cause analysis
What They're Looking For.
Must Have
6–10 years of experience in Cybersecurity, 2–3 years focused on AI/ML systems, Securing LLM-based applications, Cloud Infrastructure Security, Securing serverless compute, Securing API gateways, Securing cloud-native databases, Agentic System Design experience, LLM Security Foundations knowledge, Regulatory Knowledge
Nice to Have
Experience with Policy-as-Code, Logic-based authorization systems experience, Digital Forensics knowledge, Building immutable logging architectures, Public Sector project context experience, Smart Nation project context experience, Advanced Privacy implementation
What You'll Do.
Lead security guardrails design
Map out potential risks
Design human-in-the-loop workflows
Build Chain of Custody
Log model version used
Ensure AI actions reproducible
Ensure AI accesses data on need-to-know basis
Conduct proactive testing
Implement specialized privacy technologies
How You'll Work.
Team & Collaboration
Discovery Squad Collaboration
Communication Scope
Risk Communication
Full Job Description
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 app
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