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Wall Street is hiring aggressively to build the artificial-intelligence systems that may one day replace some jobs — and those roles are already multiplying. Job postings tied to AI at banks such as JPMorgan Chase, Citigroup and Capital One have risen sharply, with Draup reporting a 49% increase this year versus 2025 to 139,819 listings in an analysis provided exclusively to CNBC.
Agents replace single tools with coordinated workflows
Recruiting trends show banks moving past simple chatbots. Firms are increasingly advertising roles to design and manage networks of AI components that work together on tasks.
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References to agent orchestration — the practice of coordinating multiple AI agents to handle parts of a workflow — surged 1,721% this year, Draup found. That spike points to a shift from model-building alone to integrating AI across business processes.
Deploying these systems at scale often requires stitching together specialized agents: one for cleansing raw data, another for extracting information from documents and a third for checking compliance. The result is a more modular, complex AI architecture inside banks.
Who builds these systems: the rise of forward-deployed engineers
Alongside model engineers and data scientists, demand has climbed for professionals who embed AI directly into business teams. Draup and industry leaders call these workers forward-deployed engineers.
The role blends domain knowledge with technical skill. Engineers must map out which agents are necessary, define each agent’s responsibility and determine the right technology stack. They also decide when human oversight is required.
“This is arguably the hottest skill on Wall Street,” Draup CEO Vijay Swaminathan said. “They need people who understand data and people who understand AI and where to put it.”
Agent tech stack and emerging tooling
Job ads are increasingly naming specific frameworks and approaches that enable multistep agent workflows.
Mentions of **LangGraph**, a framework for multistep processes, climbed 679%. References to **LlamaIndex**, a tool for linking AI apps to enterprise data, rose 291%. Use of **retrieval-augmented generation (RAG)** increased 259%, reflecting attention to techniques that feed models with company information.
These tools help agents act on real data. But tool knowledge alone is not enough. Employers are also flagging the need for problem-solving, creativity and the ability to question assumptions.
Governance, security and a soft-skills premium
As banks build agent systems, they are putting more emphasis on controls. Draup found job mentions tied to responsible AI up 657% this year. References to AI governance and risk management jumped 394% and 359%, respectively.
Governance-related skills now appear more than 16,000 times in Draup’s dataset — roughly double the roughly 8,400 references related to training and running models. Security teams are focused on preventing vulnerabilities from third-party tools or external model connections.
Risk, control and compliance expertise is rising alongside technical demand. Employers are seeking people who can build guardrails and ensure AI systems do not create systemic weaknesses.
Compensation, reskilling and workforce impact
These specialized AI roles typically pay well. Draup reports a median base salary near $190,000 for managers of generative AI, above many other technical posts in finance.
But talent remains scarce. To close the gap, major banks are investing in internal retraining programs to convert developers and domain experts into AI practitioners.
Executives are already planning for staff changes. JPMorgan CEO Jamie Dimon has discussed “huge redeployment plans” as AI takes on more tasks, a sign that banks expect significant workforce shifts in coming years.
What this means for readers
The short-term consequence is clear: banks are hiring now to build the AI infrastructure that will automate repetitive work. For employees, that means new opportunities in engineering, governance and cross-functional roles. For shareholders and executives, it signals a push to boost productivity through automation.
“It’s a very exciting time for the right talent,” Swaminathan said, noting that combining technical ability with strong soft skills will be critical as firms scale agent-driven systems.
