Lloyds Banking Group has revealed plans to fill close to 300 roles linked to agentic AI, drawing candidates from both inside and outside the organisation.
The planned hires include data and AI scientists, engineers, responsible AI specialists and AI product managers.
Access deeper industry intelligence
Experience unmatched clarity with a single platform that combines unique data, AI, and human expertise.
The UK-based lender is increasing its AI efforts through training and internal development as it extends the use of the technology across its operations.
The bank said more than 700 staff are already involved in developing and applying these systems.
It also expects to create more than 1,000 roles in 2026 as part of a broader expansion of its AI work.
That programme includes customer tools such as an AI financial assistant currently used by more than 500,000 Bank of Scotland customers.
One of the latest applications is a set of AI-based fraud detection agents introduced this week.
These systems review payments as they are made, with the aim of spotting and stopping suspected scams before funds leave an account.
According to the group, the models monitor behaviour and transaction patterns on an ongoing basis, supporting quicker and more uniform decisions as fraud risks evolve.
Lloyds said the wider effort is also intended to improve AI skills across its workforce, so employees can apply the technology in a safe and responsible way in everyday tasks.
The group is also adding to its future skills pipeline through a Level 6 AI Engineering apprenticeship.
This year, 33 apprentices will join the scheme across its UK hubs, combining work placements with study towards the qualification.
In January, Lloyds introduced an AI Academy for its 67,000 employees.
In April, The Times reported that Lloyds Banking Group started using a specialist AI system in its boardroom, in what is understood to be a first for a UK-listed blue-chip business.
Senior executives and directors at the bank are using a “board bot” to review confidential material, support meeting preparation and assist in checking for bias in decision-making.
