AI Developer (BSL Job/ 34)

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 Developer role, where you will play a crucial role in designing, developing, and implementing AI solutions that drive innovation and efficiency within the organization. You will work closely with AI Architects, Data Engineers, and Data Scientists to build scalable AI systems and applications. At Barclays, we don't just anticipate the future - we're creating it.

To be successful in this role, you should have below skills:

• Programming and Software Development: Develop and maintain AI models and algorithms using programming languages such as Python, R, Java, and C++ 1.

• Software Engineering: Apply software engineering principles, including distributed computing, time-frequency analysis, UNIX tools, and advanced signal processing techniques 1.

• Problem-Solving and Critical Thinking: Solve complex problems both autonomously and as part of a team, ensuring that AI solutions are robust and effective 1.

• Code Transformation and Refactoring: Translate legacy code into modern programming languages, refactor existing code to align with cloud-native principles, and optimize performance 2.

• Data Transformation and Schema Conversion: Generate scripts for data transformation, ensuring compatibility between source and target database schemas 2.

• Automated Test Case Generation: Analyze application code, user stories, and requirements to automatically generate comprehensive test cases 2.

• Self-Healing Test Scripts: Identify changes in the application under test and automatically update test scripts 2.

• Automated Data Validation: Automate data cleansing and validation processes, detecting inconsistencies and errors in migrated data

Some other highly valued skills may include below:

• Proficiency in Python, R, Java, C++

• Experience in developing and maintaining AI models and algorithms

• Knowledge of distributed computing

• Familiarity with UNIX tools, time-frequency analysis

• Understanding of advanced signal processing techniques