AI Software Engineer

Overview

Design, develop and improve software that provides business, platform and technology capabilities for customers and colleagues, including AI-enabled software solutions and intelligent applications and platforms.

What you'll do

• Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks and tools.
• Ensure code is scalable, maintainable and optimized for performance.
• Collaborate with product managers, designers and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaborate with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities.
• Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implement effective unit testing practices to ensure proper code design, readability, and reliability.
• Drive 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.
• Integrate advanced AI capabilities into enterprise systems.
• Advise key stakeholders, including functional leadership teams and senior management, on functional and cross-functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives.

What you'll need

• Experience in 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.
• Experience in 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.
• Experience in 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.

Nice to have

• 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.
• Executive communication skills: communicating technical strategy, architecture decisions, and the value of AI solutions effectively to senior leadership and non-technical stakeholders.

Details

• Based in the Knutsford, Manchester or Glasgow office.
• Colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset to Empower, Challenge and Drive.