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About the Role

To design, develop, and improve software utilizing various engineering methodologies, providing business, platform, and technology capabilities for customers and colleagues. This role involves leading the design and evolution of a global AI/ML platform supporting high scale, secure, and cost-efficient workloads across cloud and on-prem environments.

Responsibilities

• Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools, ensuring code is scalable, maintainable, and optimized for performance.
• Collaborate cross-functionally with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration with business objectives.
• Participate in code reviews with peers and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations, actively contributing to technology communities to foster technical excellence and growth.
• 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.
• Lead the design and evolution of a global AI/ML platform supporting high scale, secure, and cost-efficient workloads.
• Deliver hands-on engineering solutions using Python and cloud-native technologies to build reliable AI and machine learning infrastructure.
• Own end-to-end platform delivery, including development, production support, monitoring, and incident management.
• Drive operational excellence with a strong focus on reliability, performance, cost optimization, and automation.
• Establish and enforce governance, security, and compliance frameworks for AI and data platforms.
• Partner with business, technology, and risk stakeholders to align platform capabilities with enterprise priorities.
• Shape platform strategy and technical roadmap, evaluating emerging AI, MLOps, and cloud technologies.
• Ensure delivery outcomes by tracking performance metrics, managing risks, and driving adoption of platform capabilities.
• Provide expert advice to senior functional management and committees to influence decisions outside of own function, offering significant input to function-wide strategic initiatives.
• Manage, coordinate, and enable resourcing, budgeting, and policy creation for a significant sub-function.
• Escalate breaches of policies/procedures appropriately.
• Foster and guide compliance, ensuring regulations are observed and relevant processes are in place to facilitate adherence.
• Focus on the external environment, regulators, or advocacy groups to monitor and influence on behalf of Barclays.
• Demonstrate extensive knowledge of how the function integrates with the business division/Group to achieve overall business objectives.
• Maintain broad and comprehensive knowledge of industry theories and practices within own discipline, alongside up-to-date relevant sector/functional knowledge and insight into external market developments/initiatives.
• Use interpretative thinking and advanced analytical skills to solve problems and design solutions in complex/sensitive situations.
• Exercise management authority to make significant and certain strategic decisions or recommendations within own area.
• Negotiate with and influence stakeholders at a senior level, both internally and externally.
• Act as the principal contact point for key clients and counterparts in other functions/business divisions.
• Serve as a spokesperson for the function and business division.
• Demonstrate leadership behaviors (Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others) to create an environment for colleagues to thrive.
• Demonstrate Barclays Values (Respect, Integrity, Service, Excellence, Stewardship) and Barclays Mindset (Empower, Challenge, Drive).

Requirements

• Strong Python engineering expertise with experience building cloud-native platforms.
• Deep experience with AWS services and modern distributed systems architecture.
• Proven track record building and scaling AI platforms in production environments.
• Hands-on knowledge of model lifecycle, deployment, monitoring, and governance practices.
• Strong understanding of security, compliance, and risk management in enterprise environments.
• Ability to lead technical teams and communicate effectively with both technical and senior stakeholders.
• Ability to lead execution using Agentic Software Engineering tools.
• Experience with AWS and Bedrock.
• Experience with Kubernetes, CI/CD, infrastructure as code, and automation tools.
• Familiarity with AI or ML platforms such as Databricks, SageMaker, or MLflow.
• Exposure to hybrid cloud architectures and large-scale data processing ecosystems.
• Knowledge of enterprise data platforms, observability, and cost management tooling.

Skills

• Python
• Cloud Native Technologies
• AI/ML Platform Development
• Scalable Code
• Maintainable Code
• Optimized Performance
• Secure Coding Practices
• Unit Testing
• AWS
• Distributed Systems Architecture
• Model Lifecycle Management
• Model Deployment
• Model Monitoring
• Model Governance
• Security
• Compliance
• Risk Management
• Technical Leadership
• Stakeholder Communication
• Agentic Software Engineering
• Kubernetes
• CI/CD
• Infrastructure as Code
• Automation
• Databricks
• SageMaker
• MLflow
• Hybrid Cloud Architectures
• Large Scale Data Processing
• Enterprise Data Platforms
• Observability
• Cost Management

Experience Level

• Senior Leader

About the Company

• Barclays is a global financial services provider engaged in retail banking, credit cards, corporate and investment banking, and wealth management services.

Equal Opportunity

• All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• 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.