Risk Analyst Higher Apprenticeship Programme
To support the day-to-day operations of the risk division by monitoring the bank's risk profile, identifying and managing risks and providing insights and expertise to support senior colleagues to…
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136,000+ live jobsOn-site in Manchester·Full-time·Added 1 month ago (last checked 4 Oct)
Full-time
Per the ad.
Work on-site in Manchester
No relocation package mentioned.
Have senior-level experience
Senior-level role.
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Join Barclays as an AI Software Engineer and help build the next generation of intelligent applications and platforms. You will develop scalable software solutions, integrate advanced AI capabilities into enterprise systems, and collaborate with engineering teams to solve complex technical challenges that deliver meaningful business impact.
To be successful as an AI Software Engineer, you should have experience with:
Strategic Technical Leadership - Driving the design and delivery of AI-enabled software solutions, providing technical direction, mentoring engineers, and evaluating emerging technologies including LLMs, RAG, AI agents, and Generative AI frameworks.
Cross-Functional Stakeholder Management - Partnering effectively with engineering, product, architecture, and business stakeholders to translate complex requirements into innovative AI-powered solutions and successful business outcomes.
Advanced Software Architecture - Architecting secure, scalable, and cloud-native applications using distributed systems, microservices, APIs, and modern engineering patterns, with experience integrating AI capabilities into enterprise-grade platforms.
Some other highly valued skills may include:
Experience in Large-Scale Legacy Enterprise Transformations - Modernising complex technology estates and embedding AI capabilities into existing enterprise systems.
Open-Source Contribution - Contributions to software engineering, AI, or open-source communities, demonstrating a passion for innovation and continuous learning.
Executive Communication Skills - Communicating technical strategy, architecture decisions, and the value of AI solutions effectively to senior leadership and non-technical stakeholders.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in Knutsford/ Manchester/ Glasgow office
Your application
Your assessment
A number of online assessments, which take up to an hour, or a telephone interview of about half an hour.
Your interview
A face-to-face or virtual interview on how you fit Barclays' values and the key skills; some roles add a role play, case study or presentation.
Next steps
Barclays is a British universal bank. Its businesses include consumer banking, as well as a top-tier, global corporate and investment bank, and it describes itself as a transatlantic consumer and wholesale bank with global reach.
In February 2024 the bank launched its Simpler, Better and More Balanced strategy, positioning the bank for income growth and higher returns, with an updated set of financial targets from 2026-2028.
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