AI Engineer – Vice President

Job Description

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.

At Barclays, we don’t just adapt to the future – we shape it. Embark on a transformative journey as AI Engineer – Vice President, where you'll spearhead the evolution of our Corporate Data Services function. You will have a strong background in machine learning, deep learning, and artificial intelligence including GenAI, with a passion for solving complex problems and developing innovative AI solutions. Corporate AI Incubator is designed to foster innovation and accelerate the development of AI solutions within the banking sector. By providing access to cutting-edge technologies, mentorship, and resources, the incubator aims to transform ideas into impactful AI-driven products and services. As part of the incubator, you will have the opportunity to collaborate with industry experts and leverage advanced AI tools to address real-world challenges in corporate banking. You will work closely with your colleagues in the wider cloud and middleware organization to bring their products to life as part of a modern developer-focused experience. Additionally, your role requires effective stakeholder management, leadership, and decision-making to support business strategy and risk management. 

To be successful as a AI Engineer – Vice President, you should have experience with: 

• Provide technical leadership to resolve complex issues. 
• Utilize key technologies such as AWS Bedrock, Databricks Genie, and Snowflake Cortex AI to build and deploy AI solutions.
• Well versed with some of the industry wide solutions & large learning models (LLMs) such as GTP, Claude, Deepseek, Gemini
• Hands on experience on Agentic AI development & deployment will be an added advantage
• Proficiency in programming languages such as Python, R, or Java.
• Experience with Python and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with NLP techniques
• Experience of using AI platforms such as Hugging Face
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
• Working experience with large volumes of data in financial services domain.

• Design, develop, and implement AI models, algorithms and GenAI models
• Collaborate with cross-functional teams to integrate AI solutions into products and services
• Conduct research to advance the state-of-the-art in AI and machine learning.
• Analyze and interpret complex data sets to drive decision-making and optimize and fine-tune AI models for performance and scalability.

Some highly valued skills include: 

• Stay up to date with the latest advancements in AI technologies.

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. 

The location of the role is Pune, IN.