AI Testing Engineering Lead

Purpose of the role

To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability. 

Accountabilities

• Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards.
• Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues.         .
• Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested.
• Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution.
• 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.

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.

Join us as an AI Testing Engineering Lead at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

Are you ready to lead a team at the forefront of AI innovation? We're on the hunt for a 'customer obsessed' and forward-thinking AI Testing Engineering Lead.

This isn't just any job — it's a journey where you will be required to help shape and guide our organization! Imagine shaping the next generation of AI-powered conversational solutions that redefine how we operate and overhaul the service we provide to millions of our customers and clients.

You'll get to channel your visionary leadership, share your knowledge, develop our people, and drive our strategic agenda to create a vibrant, dynamic environment where creativity and cutting-edge technology come together and thrive. You'll also be collaborating with cross-functional teams to craft groundbreaking AI solutions and help set new standards. If you're excited by this challenge, speak to us! 

To be successful as an AI Testing Engineering Lead you should have experience with:

• Expertise in AI/ML system evaluation & validation
• Proficiency in AI testing framework & automation.
• Good understanding of AI/ML/Gen AI ecosystem

Other highly valued skills include:

• Model Drift Analysis- Familiarity with Data quality assessment which is key for ML system success.
• Experience with Performance and stress testing for AI systems.
• Proficiency in AI Testing tools like Botium, TensorFlow Model Analysis etc

This role will be based out of our Northampton campus