Join us as a GenAI Engineer at Barclays where you will be responsible for building, implementing, and optimizing GenAI solutions across Data-as-a-Service landscape. This role focuses on developing RAG pipelines, prompt workflows, and AI-driven automation, integrating models with enterprise data sources and APIs. The engineer will develop secure, scalable GenAI components, collaborate with data and platform teams, and ensure high‑quality outputs through proper versioning, evaluation, and adherence to Barclays governance standards. The role is hands‑on, delivery-focused, and essential in accelerating adoption of GenAI capabilities across the organization.

To be successful as a GenAI Engineer, you should have experience with:

• Implementing GenAI solutions using Large Language Models (LLMs).

• Basics of prompt engineering, LLM API integration, Retrieval-Augmented Generation (RAG).

• Strong hands-on experience in Programming Languages and Analytical/Critical thinking.

• Proficiency in Python, which serves as our primary language for artificial intelligence and machine learning initiatives.

• A sound understanding of Oracle/SQL, database querying skills and Unix.

• Experience with APIs and SDKs to facilitate integration and development.

• Familiarity with embeddings, model fine-tuning.

• Experience with algorithms for Synthetic Data Generation.

• Competence in Data modelling and schema design.

• Understanding of Data Masking and Anonymisation techniques.

Some other highly valued skills may include:

• Basics of Linux commands, Bash scripting.

• Ability to integrate with CI/CD pipelines and GitLab workflow.

• SonarQube for code quality.

• Understanding of Cloud platforms.

• Ability to work in Agile environments.

You may be assessed on 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 role is based out Pune.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• 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 develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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.