AI Trust & Security Lead

Location: Singapore
Salary range: Not stated
Workplace: In office
Level: Senior / Staff IC
Posted: Recently

The T&S Network estimates this role to be P3, Senior. We don't yet know typical pay for this level in Singapore. Most of our pay data comes from US roles. If you work in Trust & Safety in Singapore, add your pay to help others. Key skills at this level: owns a workstream end to end and is the named escalation point for a domain, sets the review standard others in the team work to, and mentors without managing, and builds capability rather than dependency.

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Why this level

Estimated from the posting rather than stated by the employer: the posting states the level in its title · the title reads as P3 · asks for 10+ years.

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The role, in T&S terms

Written by the T&S Network from Accenture's posting.

Leads the AI Trust capability for Accenture across Southeast Asia, defining, assessing and governing the security, risk and control environment around AI solutions for clients. The work covers AI security, AI governance, AI assurance and emerging AI-related risk, including generative, agentic and machine learning systems.

What you'd do

Run security reviews of generative AI and other AI solutions built for clients.
Set out security architectures, control frameworks and reusable security patterns for AI systems.
Assess threats, vulnerabilities, attack surfaces and adversarial risks against AI systems.
Design AI governance and trust frameworks, and run AI risk assessments covering privacy, model and third-party risk.
Lead AI control reviews and assurance activities, and set metrics for demonstrating trustworthy AI deployment.
Brief CISOs, CROs, legal and AI leaders on AI trust, security and risk at executive level.
Build reusable control libraries, assessment methodologies and accelerators, and mentor practitioners.

What it asks for

Demonstrated experience assessing, governing or securing AI solutions.
Track record of reviewing AI use cases for security, risk, compliance or assurance concerns.
Strong understanding of generative AI, machine learning, LLMs, agentic AI and knowledge-based systems.
Track record of presenting to senior stakeholders in executive settings.
Background in AI governance, responsible AI, model risk, technology risk or regulatory compliance (preferred).
Working knowledge of new AI regulations and industry standards (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Accenture before you apply. If we got something wrong, report this listing.

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Still listed 14 hours ago