AI Software Engineer

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.

• 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.