在人工智能真正取代华尔街的现有工作岗位之前，它实际上正在创造大量新岗位。
Before artificial intelligence can take Wall Street jobs, it is first creating them.
据企业招聘数据分析公司Draup为CNBC独家提供的数据显示，今年包括摩根大通、花旗集团以及第一资本金融公司在内的多家银行发布的与人工智能相关的职位数量较2025年增长了49%，总计达到139,819个。
Posts for AI-related roles at banks including JPMorgan Chase Citigroup Capital One surged 49% this year compared with 2025 to 139,819 listings, according to an analysis by enterprise hiring data firm Draup that was provided exclusively to CNBC.
Draup指出，增长最为迅速的领域是一系列与人工智能代理相关的技能。该公司从公开招聘信息及领英等平台上收集数据。例如，今年提及“代理协同工作”的相关内容增长了1,721%。
The fastest-growing area is a cluster of skills involving AI agents, according to Draup, which culls data from public job posts and platforms including LinkedIn. For instance, references to agent orchestration, or the ability to design agents that work in concert on a task, jumped 1,721% this year.
“可以说这是目前华尔街最抢手的技能，”Draup首席执行官维杰·斯瓦米纳坦在接受采访时说道，“这是一个巨大的机遇。银行需要既懂数据、又懂人工智能及其应用场景的人才。”这些招聘信息表明，华尔街各大银行正从单纯使用聊天机器人转向实施下一阶段的AI战略，这一转变将对高管、普通员工乃至股东产生深远影响。为切实实现提升生产力、自动化处理重复性工作的目标，各银行正积极迈向一个由众多人工智能代理承担越来越多工作的未来。
"This is arguably the hottest skill on Wall Street," Draup CEO Vijay Swaminathan said in an interview. "It's a massive opportunity. They need people who understand data and people who understand AI and where to put it." The job listings show that Wall Street banks are moving beyond chatbots to the next phase of their AI strategy, one that has implications for executives, employees and shareholders. To make good on AI's promise to boost productivity and automate repetitive tasks, banks are pressing forward into a future filled with armies of agents handling an increasing share of labor.
早期的人工智能招聘热潮主要面向负责构建模型或将其适配于企业数据的工程师与数据科学家，而如今这一需求范围已大幅扩展，涵盖了那些负责将人工智能直接融入各业务环节的人才。
While an earlier wave of AI hiring was dominated by engineers and data scientists building models or adapting them to corporate data, the boom has expanded to include people who are responsible for embedding AI directly into business lines.
在金融机构内部部署人工智能往往需要协调多个专业化的代理：比如一个负责审核原始数据，另一个负责分析文档，还有一个则负责检查是否符合监管规定。
Deploying AI inside a financial institution often requires stringing together multiple specialized agents: one to inspect raw data, another to analyze a document and a third to check regulatory compliance, for example.
斯瓦米纳坦指出，参与这一流程的工作人员通常被称为“一线部署工程师”，他们需要兼具技术能力以及对特定业务或职能领域的专业知识，这些领域涵盖了交易部门、后台运营乃至人力资源管理等各个方面。
The workers involved in this process, often called forward-deployed engineers, need a combination of technical abilities and domain knowledge of a specific business or function, from trading desks to back-office operations and human resources, according to Swaminathan.
例如，他提到，组建一个智能体团队来自动审批员工的休假申请，往往会引发大量特殊情形及例外情况。
For instance, creating a team of agents to automate approval of employee vacation requests creates a web of edge cases and specific exemptions, he said.
“企业环境极其复杂，”斯瓦米纳坦说道，“这些复杂性有时显而易见，但更多时候却隐藏在表面之下。即便是一个简单的流程，要实现自动化也需要耗费大量时间。”作为Draup公司的首席执行官，他指出：智能体编排能力对于那些负责一线部署的工程师而言尤为重要，因为他们的任务就是确定需要哪些智能体、各自的功能是什么以及该选用何种技术。此外，还要决定在何种情况下需要人工介入进行监督。
"There is a lot of complexity in an enterprise," Swaminathan said. "Sometimes these complexities are visible, but many times they are hidden. It takes a long time even to automate a simple process." The agent orchestration skill is especially relevant to forward-deployed engineers, because their job is to figure out which agents are needed, what each one does and which technology to use, said the Draup CEO. It also involves deciding when human overseers need to be involved, he said.
在构建人工智能系统的过程中，其他备受青睐的技能还包括掌握各类工具与技术，从而赋予智能体完成任务的能力。
Agent tech stack Other in-demand skills related to the AI build-out involve understanding tools and techniques that give agents the ability to get things done.
根据Draup的分析，用于构建多步骤工作流的框架LangGraph的相关提及量增长了679%；而有助于将人工智能应用与企业数据相连接的LlamaIndex的提及量则增长了291%。另外，用于向人工智能模型提供企业数据库信息的检索增强生成技术（RAG）的提及量也大幅上升了259%。不过，除了技术能力外，所谓的“软技能”也日益受到重视。
References to LangGraph, a framework for building multistep workflows, jumped 679%, while mentions of LlamaIndex, which helps connect AI applications to data, rose 291%, according to Draup's analysis. References to retrieval-augmented generation, or RAG, a technique for feeding AI models information from company databases, climbed 259%. Beyond technical abilities, though, there is a growing emphasis on so-called soft skills.
“我们的分析显示，如今企业愈发重视问题解决能力、创造力、提出关键问题的能力以及为深入理解业务流程而敢于坚持己见的特质等软技能，”他补充道。
"Our analysis shows that there is a renewed focus on soft skills like problem solving, creativity, ability to ask tough questions, being assertive [when it comes to] deeper understanding of the processes," he said.
人工智能领域的其他增长方向还包括为新兴系统设置安全边界，比如对风险管控基础设施的需求也在不断上升。
Other growth areas within AI include those responsible for creating guardrails around the emerging systems, including demand for risk and control infrastructure.
据Draup统计，今年招聘信息中涉及“负责任的人工智能”这一表述的频次增长了657%；提及人工智能治理与风险管理的频次也分别增长了394%和359%。安全团队同样致力于防范第三方工具或外部模型接入可能引发的系统性安全漏洞。
References in job postings tied to "responsible AI" surged 657% this year, according to Draup, while those mentioning AI governance and risk management jumped 394% and 359%, respectively. Security teams are also focused on preventing third-party tools or external model connections from creating systemic vulnerabilities.
与治理相关的技能如今在Draup数据中已有超过1.6万次提及，接近与培训、部署和运行模型相关的约8400次提及的两倍。
Governance-related skills now account for more than 16,000 references in the Draup data, nearly twice the roughly 8,400 tied to training, deploying and running models.
他说：“我们非常重视确保这些产品所使用的第三方不会在网络安全层面出现失控行为。”
"There is a lot of focus on making sure that the third parties that we are using in these products are not going rogue from a cybersecurity standpoint," he said.
据Draup数据，与生成式人工智能和智能体相关的岗位通常比金融行业的其他科技岗位薪酬更高，生成式人工智能经理的基本工资中位数约为19万美元。斯瓦米纳坦说，尽管薪酬较高，填补这些专业岗位仍然十分困难。
Roles tied to generative AI and agents typically pay more than tech roles elsewhere in finance, with generative AI managers paid a median base salary of about $190,000, according to Draup. Despite the higher pay, filling these specialized roles remains a challenge, said Swaminathan.
他说，为弥合这一人才缺口，大型银行正大力推进内部技能再培训项目，以培训现有开发人员和领域专家。
To bridge the gap, major banks are leaning heavily into internal reskilling programs to train existing developers and domain experts, he said.
随着人工智能接管更多工作，这一扩建过程本身也将产生连锁效应：摩根大通首席执行官杰米·戴蒙曾谈及“庞大的岗位重新部署计划”。
The build-out will itself create ripple effects: JPMorgan CEO Jamie Dimo n has spoken of " huge redeployment plans " as AI takes over more work.
斯瓦米纳坦说：“我认为，我们越是以适当的技术能力为基础重视软技能，人们就越能够适应和学习。” “对于真正合适的人才来说，这是一个非常令人振奋的时代。” 在Google上将CNBC来源，随时关注商业新闻领域最值得信赖的品牌，不错过任何重要时刻。
"I think the more we prioritize those soft skills with the right amount of technical skills, people will adapt and learn," Swaminathan said. "It's a very exciting time for the right talent." Choose CNBC as your preferred source on Google and never miss a moment from the most trusted name in business news.