An individual strolls by the JPMorgan Chase & Co. headquarters in New York on February 17, 2026. Zamek | View Press | Corbis News | Getty Images
Before AI can displace jobs in the financial sector, it is currently on track to create them. Job postings for AI-focused positions at financial institutions such as JPMorgan Chase, Citigroup, and Capital One have seen a remarkable increase of 49% this year compared to 2025, reaching a total of 139,819 listings. This information comes from an analysis by Draup, an enterprise hiring data provider, which was exclusively shared with CNBC. The most rapidly expanding field is centered on skills related to AI agents. For example, mentions of agent orchestration—the ability to create agents that collaborate on specific tasks—skyrocketed by 1,721% in 2026. "This is arguably the hottest skill on Wall Street," commented Draup's CEO Vijay Swaminathan in a recent interview. "It's an enormous opportunity. There's a strong demand for professionals who are both data-savvy and knowledgeable about AI and its implementation."
The job marketplace reveals that Wall Street firms are progressing beyond the initial trend of employing chatbots and are now entering the next phase of their AI strategies. This evolution holds significant implications for executives, workers, and shareholders alike. In order to fulfill AI's potential to enhance productivity and automate repetitive tasks, banks are investing in a future equipped with numerous agents that will manage a growing portion of the workload.
In the previous AI hiring surge, the focus was primarily on engineers and data scientists tasked with developing AI models or customizing them for company data. However, this surge has broadened to include roles that require integration of AI directly into various business functions. Implementing AI in a financial organization typically necessitates a network of specialized agents—such as one for evaluating raw data, another for reviewing documents, and a further agent to ensure compliance. Those involved in this integration process, referred to as forward-deployed engineers, must possess a blend of technical skills and in-depth knowledge of specific business operations, whether those are trading floors, back-office tasks, or human resources. Swaminathan noted, "There's a considerable amount of complexity within an enterprise. Some of these complexities are apparent, but many are not. Automating even a straightforward process can take significant time."
For instance, automating vacation approval requests requires addressing numerous edge cases and special exemptions. The demand for agent orchestration skills is particularly relevant for forward-deployed engineers, as their role involves identifying necessary agents, determining their functions, and selecting the appropriate technology. Additionally, they need to decide when human oversight is necessary, Swaminathan added.
Related to this agent technology stack are sought-after skills involving tools that empower agents to execute tasks efficiently. For instance, mentions of LangGraph—a framework for developing multistep workflows—increased by 679%, while references to LlamaIndex, which connects AI applications to data, surged by 291%. The reference to retrieval-augmented generation (RAG), a method for informing AI models using company databases, rose by 259%. Moreover, the analysis highlighted an increasing focus on soft skills, such as problem-solving, creativity, assertiveness, and a nuanced understanding of processes. Increased duties for establishing frameworks around AI systems are also evident, as the demand for roles related to "responsible AI" ballooned by 657%, while mentions of AI governance and risk management went up by 394% and 359%, respectively. Security teams are also concentrating on mitigating risks associated with third-party tools or external model integrations that could lead to systemic vulnerabilities.
In terms of governance, the associated skills account for over 16,000 mentions in Draup’s data—almost double the approximately 8,400 references linked to training, deploying, and managing models. "We are very focused on ensuring that the third-party tools we incorporate are secure from a cybersecurity perspective," he explained. Positions revolving around generative AI and related agents typically offer higher salaries than many tech roles in finance; for instance, generative AI managers have a median base salary of around $190,000. Despite this lucrative pay scale, filling these specialized positions remains a challenge, Swaminathan pointed out. To address this shortfall, leading banks are heavily investing in internal reskilling initiatives to equip existing developers and specialists with the necessary skills. This expansion is set to trigger broader effects in the industry: JPMorgan CEO Jamie Dimon has hinted at "significant redeployment plans" as AI takes on more responsibilities. "I believe that by emphasizing soft skills alongside the appropriate technical expertise, individuals will adapt and learn," stated Swaminathan. "This is an incredibly exciting time for those with the right talent."
