Wall Street's AI Hiring Surges 49% as Agent Skills Soar 1,721%

Mentions of agent orchestration — the ability to design AI agents that work in concert on a task — jumped 1,721% this year, making it the fastest-growing skill cluster in Wall Street hiring, according to enterprise hiring data firm Draup.

Before artificial intelligence takes Wall Street jobs, it is first creating them. Posts for AI-related roles at banks including JPMorgan Chase, Citigroup and Capital One surged 49% this year compared with 2025, reaching 139,819 listings, according to a Draup analysis provided exclusively to CNBC. Draup culls its data from public job posts and platforms including LinkedIn.

"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."

What is driving the demand?

The listings show banks moving beyond chatbots to the next phase of their AI strategy. To deliver on AI's promise of productivity gains and automation of repetitive tasks, banks are building toward armies of agents handling a growing share of labor.

An earlier wave of AI hiring was dominated by engineers and data scientists building or adapting models. The boom has now expanded to people who embed AI directly into business lines.

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.

The workers doing this — often called forward-deployed engineers — need technical abilities plus domain knowledge of a specific business or function, from trading desks to back-office operations and human resources, Swaminathan said. He cited the example of building an agent team to automate approval of employee vacation requests, which creates a web of edge cases and specific exemptions.

"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."

For forward-deployed engineers, agent orchestration means deciding which agents are needed, what each one does, which technology to use and when human overseers must step in, he said.

Which tools are banks hiring for?

Other in-demand skills involve the tools that give agents the ability to get things done. According to Draup's analysis:

• References to LangGraph, a framework for building multistep workflows, jumped 679%.
• Mentions of LlamaIndex, which connects AI applications to data, rose 291%.
• References to retrieval-augmented generation, or RAG — feeding AI models information from company databases — climbed 259%.

Beyond technical abilities, employers are putting fresh weight on soft skills. "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," Swaminathan said.

Who watches the agents?

The build-out is also creating demand for guardrails around the emerging systems. References tied to "responsible AI" surged 657% this year, while mentions of AI governance and risk management jumped 394% and 359% respectively. Security teams are focused on preventing third-party tools or external model connections from creating systemic vulnerabilities.

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.

"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," Swaminathan said.

How much do these roles pay?

Roles tied to generative AI and agents typically pay more than tech roles elsewhere in finance. Generative AI managers earn a median base salary of about $190,000, according to Draup.

The higher pay has not solved the staffing problem. Filling these specialized roles remains a challenge, Swaminathan said, and major banks are leaning heavily into internal reskilling programs to train existing developers and domain experts.

The build-out will itself create ripple effects. JPMorgan CEO Jamie Dimon has spoken of "huge redeployment plans" as AI takes over more work.

"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."