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Date live:
Oct. 14, 2025
Business Area:
Corporate Digital Banking
Area of Expertise:
Technology
Reference Code:
JR-0000047716
Contract:
Permanent
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Explore locationWe are seeking a talented and motivated Senior AI Engineer to join our dynamic team. The ideal candidate 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.
To be a successful Senior AI Engineer, you should have experience with:
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.
Optimize and fine-tune AI models for performance and scalability. Stay up-to-date with the latest advancements in AI technologies. 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 GPT, Claude, Llama, Mistral, DeepSeek, Gemini etc. 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.
Additional relevant skills given below are highly valued:
Hands on experience on Agentic AI development & deployment will be an added advantage.
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.
This role is based in 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
Vice President Expectations
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.