As advanced agents move from coding to the rest of knowledge work, it takes a real amount of work and know-how to get right. You need to ensure agents have the right context and data to work with, wire up systems to agents in a safe and secure way, ensure that the agents are producing quality output, design the end-state workflow where and how humans will be in the loop, maintain the agents when there are model and system upgrades, and more. This isn’t a side project or something you can just do on nights and weekends. You need to design and develop robust agents that will be used in mission critical workflows. It’s a highly technical job, very much akin to a forward deployed engineer for internal functions. This is why, at Box, we’re starting to hire for AI automation engineering roles. This a technical role that will partner with the business directly and help augment how they work to drive even more output, and deliver better experiences for employees and ultimately customers. This is just one example of the kind of role that AI will start to open up in the future. I expect most companies will have many flavors of this going forward.
随着先进的 agent 从 coding 扩展到其余各类知识型工作，要把这件事真正做好，需要投入相当多的工作和专业 know-how。你需要确保 agent 拥有合适的 context（上下文）和 data（数据）可供使用，以安全可靠的方式把各类系统接入 agent，确保 agent 产出高质量的 output（输出），设计最终态的 workflow（工作流）以及人类将在哪些环节、以何种方式参与 in the loop，在 model（模型）和系统升级时持续维护这些 agent，等等。这不是一个 side project，也不是你靠晚上和周末随便就能做好的事。你需要设计并开发稳健的 agent，用于 mission critical 的 workflow 中。这是一项高度技术性的工作，非常类似于面向内部职能的 forward deployed engineer。这也是为什么在 Box，我们开始招聘 AI automation engineering 相关岗位。这是一个技术岗位，将直接与业务团队合作，帮助增强他们的工作方式，以推动更高产出，并为员工以及最终的客户带来更好的体验。这只是 AI 在未来将会催生的这类岗位中的一个例子。我预计，今后大多数公司都会拥有这种岗位的多种形态。