AI Job Postings at Wall Street Banks Jump 49% as Agent Orchestration Demand Surges 1,721%

The listings show Wall Street banks are moving beyond chatbots into a phase where they deploy multiple specialized agents to handle tasks, according to the Draup analysis, which culls data from public job posts and platforms including LinkedIn.

Draup CEO Vijay Swaminathan said agent orchestration is “arguably the hottest skill on Wall Street.” He said banks need people who understand data and AI and where to put it. The skill involves designing agents that work in concert on a task and deciding which agents are needed, what each does, which technology to use and when human overseers should be involved.

Earlier AI hiring was dominated by engineers and data scientists building models or adapting them to corporate data. The boom has expanded to workers responsible for embedding AI directly into business lines. Deploying AI inside a financial institution often requires multiple specialized agents: one to inspect raw data, another to analyze a document and a third to check regulatory compliance. Workers in this process, often called forward-deployed engineers, need technical abilities and domain knowledge of a specific business or function, from trading desks to back-office operations and human resources, Swaminathan said. He noted that automating even a simple process, such as employee vacation approvals, creates many edge cases and specific exemptions. “There is a lot of complexity in an enterprise,” he said. “Sometimes these complexities are visible, but many times they are hidden. It takes a long time even to automate a simple process.”

Other in-demand skills include LangGraph, a framework for building multistep workflows, with references up 679%; LlamaIndex, which helps connect AI applications to data, up 291%; and retrieval-augmented generation, or RAG, up 259%, according to Draup.

Nontechnical skills are also emphasized. Swaminathan said the analysis shows a renewed focus on problem solving, creativity, the ability to ask tough questions and being assertive for a deeper understanding of processes.

Growth areas include guardrails around emerging systems. References tied to “responsible AI” rose 657%, while mentions of AI governance and risk management rose 394% and 359%, respectively. Security teams are focused on preventing third-party tools or external model connections from creating systemic vulnerabilities, he said. 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,” he said.

Roles tied to generative AI and agents typically pay more than other technology roles in finance, with generative AI managers paid a median base salary of about $190,000, according to Draup. Despite the higher pay, filling these specialized roles remains a challenge, Swaminathan said. Major banks are leaning heavily on 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.”