Ai Engineer Glasgow

Purpose of the role: To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities:

• Development and delivery of high‑quality software solutions by using industry‑aligned programming languages, frameworks, and tools.
• Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross‑functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration 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 to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Vice President Expectations:

• 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.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
• In‑depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

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.

We are looking for a Lead Engineer to spearhead one of our GenAI feature teams developing applications that are used by thousands of colleagues on a daily basis. In this role, you will be developing and deploying applications to production that help Barclays to become more efficient. As a lead engineer you will be an SME (Subject Matter Expert) within Barclays; helping to shape and guide our Generative AI strategy.

To be successful as a Lead Engineer you should have experience with:

• Programming Language – Python
• Working with Large Language Models (LLMs)
• Working with AWS services Bedrock, Lambda, S3, Lex, CloudWatch
• Evaluating LLMs and prompt optimisation
• Strong communication and collaboration skills, with the ability to work in cross‑functional teams
• Mentor and develop team members, identifying talent gaps and fostering a culture of technical excellence and continuous improvement

Other highly valued skills include:

• Experience developing AI applications within a regulated organisation
• Knowledge of data engineering concepts
• Knowledge of DevOps concepts: CI/CD, Gitlab Runners, Jenkins and Infrastructure as Code, Terraform, CloudFormation, Docker and container‑based deployments to ECS and EKS

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.

Skills: Ai, Automation, LLM, Python, Engineering, Development, Cloud Management skills, Organization development, Project management, Design, Roadmap, Budgeting, Microsoft Office, Engineering management, Strategic direction, Integration.