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Our direct client, a global professional-services firm, is building autonomous AI agents for use in regulated financial work. They need a hands-on lead to design the independent verification layer. It sits outside the agent teams and decides whether an agent's behavior can be relied on. The client's position is that trust is the product: every result must be traceable to its evidence, and every limit must be documented. You build the system that tries to break, measure, and certify the agents.
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