Job postings that mention agent orchestration jumped 1,721% this year, according to hiring data firm Draup. Banks including JPMorgan Chase, Citigroup and Capital One listed 139,819 AI-related roles, a 49% rise from 2025.
The hiring push runs against the broader US labor picture. Employers have cited AI in more announced job cuts this year than any other reason.
Banks Move From Chatbots to Teams of Agents
Agent orchestration means designing several agents to work together on one task. One agent might inspect raw data, another reads a document, and a third checks compliance.
The 1,721% jump comes from a small base, though. References rose from 108 in 2025 to 1,967 this year, while prompt engineering still leads in volume with 11,368.
“This is arguably the hottest skill on Wall Street. It’s a massive opportunity,” said Draup CEO Vijay Swaminathan.
Mentions of LangGraph, a framework for multistep workflows, rose 679% to 5,300. References to retrieval-augmented generation (RAG) climbed 259% to 5,262.
Oversight roles are growing alongside them. Mentions of responsible AI surged 657%. Governance skills now log over 16,000 references, nearly double those tied to running models.
Banks have courted hybrid talent elsewhere too, including crypto roles at JPMorgan and Citi.
Layoff Reports Point the Other Way
Data from Challenger, Gray & Christmas shows a different picture for workers. US employers cited AI in 120,136 announced job cuts through September, about 21% of the total.
Technology firms announced 165,925 cuts this year, up 54% from the same period in 2025. FinTech cuts rose 331% to 7,806. Overall layoffs are slowing, however.
September cuts fell 18% from August to 43,281, yet year-to-date hiring plans sit just 3% above 2025. Andy Challenger, the firm’s chief revenue officer, described employers as cautious.
“Companies are in a wait-and-see period right now.”
Swaminathan said banks are relying on internal reskilling to fill specialist roles. JPMorgan CEO Jamie Dimon has also described large redeployment plans as AI takes on more work.
Challenger’s coming monthly reports may show whether that redeployment keeps pace with AI-linked cuts elsewhere.
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