AI Engineering Lead

• Purpose of the role

To  lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives. 

Accountabilities

• Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
• Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
• Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
• Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
• Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
• Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.

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 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 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 Engineering Lead you should have experience with:

• Machine Learning, NLP & Deep Learning Exposure
• Experience with scalable ML system design.
• Leadership skills to manage mid-size team

Other highly valued skills include:

• Proficiency in cloud platforms (AWS preferred)
• Innovation in Generative AI solutions
• Good coding exposure - Python, Go

This role will be based out of our Northampton campus