Artificial intelligence-related job listings at major Wall Street banks have risen by 49% this year, as firms including JPMorgan Chase, Citigroup and Capital One hire workers to build and manage increasingly sophisticated AI systems.
Enterprise hiring data firm Draup identified 139,819 such listings in 2026, compared with 2025. The figures suggest banks are creating specialist roles before the technology begins to automate a wider range of existing work.
The fastest-growing demand is for skills linked to AI agents — systems designed to carry out tasks, often working together. References to “agent orchestration”, meaning the ability to design agents that operate in concert, increased by 1,721%.
“This is arguably the hottest skill on Wall Street,” said Vijay Swaminathan, Draup’s chief executive. “It’s a massive opportunity. They need people who understand data and people who understand AI and where to put it.”
The hiring shift marks a move beyond chatbots. Banks are developing networks of specialised agents that could, for example, inspect raw data, analyse documents and check regulatory compliance as part of a single workflow.
That work is creating demand for so-called forward-deployed engineers. They require technical expertise alongside detailed knowledge of a particular business area, ranging from trading desks and back-office operations to human resources.
Such engineers must determine which agents are needed, the role each should perform and which technology should be used. They must also decide when a human supervisor should intervene.
“There is a lot of complexity in an enterprise,” Mr Swaminathan said. “Sometimes these complexities are visible, but many times they are hidden. It takes a long time even to automate a simple process.”
Even a system intended to approve employee holiday requests can involve numerous exceptions and unusual cases, he said.
Demand grows for AI governance skills
The technology behind these systems is also becoming more prominent in recruitment. Mentions of LangGraph, a framework for building multi-step workflows, increased by 679%, while references to LlamaIndex, which helps connect AI applications to data, rose by 291%.
References to retrieval-augmented generation, a technique that allows AI models to draw on information held in company databases, climbed by 259%, according to Draup.
Employers are also seeking candidates with problem-solving, creativity and the confidence to question existing processes. Mr Swaminathan said there was a “renewed focus” on soft skills alongside technical abilities.
At the same time, banks are recruiting people to create safeguards around AI systems. Job-posting references to “responsible AI” rose by 657%, while mentions of AI governance and risk management increased by 394% and 359% respectively.
Governance-related skills accounted for more than 16,000 references in Draup’s data, almost twice the roughly 8,400 linked to training, deploying and operating models.
Security teams are concerned that third-party tools or external connections to AI models could create vulnerabilities. “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,” Mr Swaminathan said.
Specialist generative AI and agent roles generally command higher pay than technology jobs elsewhere in finance. Draup put the median base salary for generative AI managers at about $190,000.
However, filling the positions remains difficult. Major banks are responding with internal reskilling programmes aimed at training existing developers and employees with expertise in specific business areas.
The expansion of AI is expected to reshape workforces as well as create new jobs. JPMorgan chief executive Jamie Dimon has spoken of “huge redeployment plans” as the technology takes on more tasks.
“I think the more we prioritize those soft skills with the right amount of technical skills, people will adapt and learn,” Mr Swaminathan said. “It’s a very exciting time for the right talent.”
