Which banks are hiring for AI in 2026? Open roles at 140 banks.

Which banks have the most open AI roles?

15 banks tie at the 12-posting cap; among them the order follows the newest posting date, then bank size. A “+” means the careers site may list more than the profile shows.

How do the 58 surveyed banks compare on AI hiring?

Data as of Sep 24, 2026 – Oct 14, 2026 · 58 banks · 324 postings · each bank's own careers site. A job posting is evidence that a bank is recruiting, not of what it has deployed; for that, read the bank's page. Counts are AI-titled postings listed on the profile, not headcount, and a profile lists at most 12 postings per bank.

Which kinds of AI roles are banks hiring for?

Every posting is sorted into one or more of seven families by the words in its title. AI engineering is the largest (180 postings at 47 banks), then AI product & strategy (123) and ML & data science (88). Each family has its own page with the banks hiring for it and every title.

Data as of Sep 24, 2026 – Oct 14, 2026. Families overlap; a title such as “Principal Engineer, Agentic AI” counts under both agentic AI and AI engineering.

Where are banks hiring for AI?

New York leads with 49 postings from 15 banks, followed by Charlotte (25), Pittsburgh (17), Chicago (15), London (10). 233 postings name a US city and 45 banks hire there; outside the US the snapshot shows United Kingdom (17), India (15), Philippines (4), Canada (3) and Singapore (3). Cities with at least two banks hiring have their own page.

Data as of Sep 24, 2026 – Oct 14, 2026. First city named on the posting; “+N more” locations are not counted. 26 postings name no city and are excluded. City pages: New York · Charlotte · Pittsburgh · Chicago · London · Bengaluru · Columbus · Phoenix · Dallas · Minneapolis.

At what level, and how recently, are banks hiring for AI?

Data as of Sep 24, 2026 – Oct 14, 2026. Age is measured to the bank's own snapshot date, not to today. Many careers sites (Workday, Oracle HCM) show a posting date; others do not.

What do the job titles tell you about where bank AI is going?

Titles are the one part of a posting that a bank chooses for the outside world, and a few patterns recur. 21 postings at 12 banks (Citi, Truist, State Street, TD, Amex and 7 others) are for agentic-AI engineers or architects, which did not exist as a title two years ago. 18 postings at 14 banks are responsible-AI, AI-governance or AI-risk roles, and 26 at 16 banks are AI-security roles, several of them for “agentic identity”, red teams and AI data protection. 8 postings at 4 banks are head-of-AI searches; no bank in the snapshot advertises a chief AI officer. 3 banks (Citi, Barclays and SoFi) borrow the “forward-deployed engineer” title from the AI labs. These are hiring signals, read from titles alone; what each bank has actually built is on its page.

Data as of Sep 24, 2026 – Oct 14, 2026. Pattern matches on the title text only.

Which banks are hiring AI leaders (VP, director, managing director)?

First 40 of 97 leadership-titled postings, in bank order. Data as of Sep 24, 2026 – Oct 14, 2026.

How are these counts built, and what do they not show?

Each bank page on this site carries an “Open AI roles” block: the postings whose title names AI, machine learning, data science, generative AI, LLMs, agents or MLOps on the bank's own careers site on the date shown, found by searching that site and keeping only titles that are about AI. 58 of the 140 bank pages carry such a block as of Sep 24, 2026 – Oct 14, 2026; the other 82 have not been surveyed yet, or their careers sites could not be searched, so a bank missing here is not a bank that is not hiring. A profile lists at most 12 postings, so a count of 12 means “at least 12” and is shown as 12+.

Role families are assigned from the title alone with fixed word lists (responsible AI & governance: titles naming responsible AI, AI governance, AI risk, model risk, AI compliance, supervision, controls, validation or ethics; AI security: titles naming security, cyber, identity, threat, red team, offensive security, DLP or data protection alongside AI; AI research: titles naming AI research, research scientists or fellows, and applied machine-learning scientists; agentic AI & LLM: titles naming agents, agentic AI, LLMs, generative AI, RAG, prompt or context engineering, conversational AI, copilots or chatbots; ML & data science: titles naming data science, machine learning, ML, MLOps, modelling, quantitative analytics, data engineering or data architecture alongside AI; AI product & strategy: titles naming product, programme, strategy, transformation, enablement, adoption, go-to-market, consulting, analysis or AI leadership (head of AI), plus AI internships; AI engineering: titles naming engineers, architects, developers, SREs, DevOps, platforms, infrastructure, cloud, integration or automation alongside AI); a title can sit in more than one family, so family counts add up to more than the number of postings. Seniority is also read from the title: VP, SVP, director, executive director, managing director and “head of” count as leadership (at US banks a vice president is often a mid-level grade); principal, lead, staff, distinguished and manager titles are the middle band; everything else, interns included, is the third. Locations are the first city a posting names; postings that name only a country, “2 locations” or nothing are left out of the city tables.

Postings are a snapshot: they close, reopen and get re-titled, and the same requisition can appear in several cities. Counts are not headcount, not budgets and not a measure of how far a bank's AI programme has gone; a bank that hires through agencies, internal transfers or untitled “software engineer” requisitions will look smaller here than it is. Where a posting carries no date, the careers site did not show one. Snapshots older than 45 days are flagged as stale; each bank's page shows the same list with its own date, and the AI index is the place for what banks have actually put on the record.

Every bank's own “Open AI roles” block, with the same postings and date:

Family pages: Responsible AI & governance · AI security · AI research · Agentic AI & LLM · ML & data science · AI product & strategy · AI engineering.