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Embark on a transformative journey as an AI Engineer. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you will design and build secure, scalable GenAI and agentic AI capabilities that support markets businesses, improve trading workflows, and enable intelligent data services within Securitized Products. You will own core LLM services and modular, goal-driven agents that deliver context-aware insights while operating within good governance and compliance standards.
Job Responsibility:
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
Requirements:
Software development with direct experience building AI/ML applications
Python engineer with good software craftsmanship, including testing, CI/CD, and performance
LLM engineering, including model selection and integration, prompt design, fine-tuning, RAG pipelines, evaluation, guardrails, and reusable LLM core services
Designing and deploying agentic AI solutions that orchestrate workflows and deliver context-aware insights securely and at scale
Building cloud-native AI solutions on AWS with a focus on scalability, reliability, and cost-efficient performance
Nice to have:
Exposure to capital markets domains such as trading, risk, or analytics
Data engineering fundamentals and integration with ML platforms
Practical MLOps, including model deployment, monitoring, and quality management
Experience working with governance and controls teams to embed responsible AI practices
Familiarity with enterprise virtual assistants, copilot patterns, or LLM-enabled colleague experiences