Job postings for AI-related roles in the banking sector saw a significant increase this year, rising by 49% to a total of 139,819 listings across major institutions like JPMorgan Chase, Citigroup, and Capital One, according to an analysis by Draup, an enterprise hiring data firm. This data was shared exclusively with CNBC.
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The most rapidly expanding area within these roles involves skills related to AI agents, with mentions of agent orchestration—designing agents that work collaboratively—seeing a staggering increase of 1,721% in 2026. Draup CEO Vijay Swaminathan emphasized the growing importance of these skills, noting the necessity for professionals who can understand both data and AI applications within the financial context.
The surge in job listings indicates that Wall Street banks are evolving their AI strategies, moving beyond basic chatbots toward more complex implementations that automate a broader range of tasks. Earlier AI hiring primarily focused on engineers and data scientists; however, the current demand has expanded to include professionals who can integrate AI directly into business operations.
Creating AI systems often involves coordinating multiple specialized agents for tasks such as data inspection, document analysis, and regulatory compliance. Individuals known as forward-deployed engineers are crucial in this process, as they must have both technical expertise and knowledge of specific business areas, whether on trading desks or in human resources.
Swaminathan noted that the complexity of enterprise operations can obscure automation opportunities, sometimes making even simple process automation a time-consuming challenge. For example, automating employee vacation request approvals entails dealing with numerous unique cases and exemptions.
In addition to agent orchestration, there is rising demand for skills related to various tools that enhance agent functionality. For instance, references to LangGraph, a multistep workflow framework, rose by 679%, while mentions of LlamaIndex, which links AI applications to data sources, increased by 291%. Techniques like retrieval-augmented generation (RAG) also saw a 259% rise in references.
Moreover, Draup's analysis highlights a growing emphasis on soft skills, including problem-solving and creativity, which are essential in understanding complex processes. There is increased interest in establishing safe use of AI, with job postings related to "responsible AI" surging by 657% and those for risk management and governance also significantly increasing.
The roles related to generative AI and agent orchestration typically offer higher salaries, with generative AI managers earning a median base pay of approximately $190,000. However, filling these specialized positions remains challenging, prompting banks to bolster internal training programs for their current workforce.
JPMorgan CEO Jamie Dimon has mentioned significant redeployment plans as AI takes over more tasks, indicating a pivotal moment for talent evolution in the industry. Swaminathan concluded that fostering both technical and soft skills will be vital for adapting to this changing landscape.