AI Enablement - Data Engineer

Join us as a "AI Enablement - Data Engineer” at Barclays. Embark on a transformative journey as a GenAI Engineer – Copilot Studio developer at Barclays. Our vision is to redefine the future of banking by responsibly harnessing data and Generative AI to deliver innovative, scalable, and trusted solutions across Markets and Investment Banking.

To be a successful “AI Enablement - Data Engineer" you will develop and deliver enterprise‑grade GenAI data platforms, with a strong emphasis on Copilot Studio and Power Platform. You will own and ship Studio Agents and workflows, including using Power Automate, Studio, AI Builder, Power Apps and MCP orchestration, while embedding governance, controls, and quality from day one.

You may be assessed on the key critical skills relevant for success in role, such as you will design and scale AI agent capabilities across MS Power Platform leveraging Microsoft 365 Copilot and Copilot Studio, and integrating leading OpenAI LLMs with privacy, security, and regulatory controls built in. You will work closely with bankers, product partners, technology teams, and senior stakeholders to translate business problems into production‑grade GenAI capabilities.

Basic/ Essential Qualifications:

• Ability to design, build, test, and publish custom Copilot agents using Copilot Studio, including topic design, trigger phrases, generative answers, and multi‑turn conversations
• Strong skills in prompt engineering, intent recognition, entity extraction, and conversation flow design
• Designing automated workflows triggered by Copilot agents to perform actions across enterprise systems (approvals, data updates, notifications)
• Ability to integrate agents with Power Apps (canvas or model‑driven) and line‑of‑business applications
• Partner with business, product, engineering, and data science teams to identify high‑impact GenAI use cases and translate them into production‑grade solutions.

Desirable skillsets/ good to have:

• Experience designing and overseeing GenAI and ML data pipelines, integrating structured and unstructured data for model deployment and evaluation using RAG pipelines
• Exposure to Power Platform AI Builder for text extraction, classification, and document understanding
• Experience partnering with business and engineering teams to deliver production‑grade GenAI solutions.
• Experience setting standards and best practices across data, analytics, and AI teams.
• Experience working directly with bankers or business users to translate requirements into technical deliverables.
• Ability to operate effectively in global teams across regions (US, UK, India).
• Degree in quantitative or technical discipline (Computer Science, Engineering, Mathematics, Statistics).
• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex).
• Exposure to retrieval‑augmented generation (RAG), agent‑based systems, and prompt engineering best practices.
• Familiarity with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Strong working knowledge of Git and collaborative development workflows.
• Understanding of model risk management, explainability, and governance in regulated environments.
• Prior experience delivering AI solutions in Investment Banking or Capital Markets.

This role will be based out of Gurugram.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People 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.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders 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.