AI Engineer in Glasgow at Barclays
Barclays

AI Engineer

Barclays Glasgow, SCT, GB
Full-time $113k Posted 24 days ago

Role overview

Join us as an AI Engineer for Barclays Private Bank and Wealth Management, where you will be part of a growing engineering function focused on delivering the bank’s strategic AI agenda. You will contribute to the development of Agentic AI solutions that enhance front-office productivity, improve client experiences, and support innovative business outcomes across the organisation. This is an exciting opportunity for an early-career engineer with a passion for AI and emerging technologies and strong software engineering fundamentals and a willingness to learn. The role will include developing AI-powered applications and services using modern Python-based frameworks, supporting the implementation of Generative AI and Agentic AI solutions, and collaborating with engineering teams to build scalable, secure, and production-ready applications that deliver business value.

Responsibilities

  • check_circle Identification, collection, extraction of data from various sources, including internal and external sources.
  • check_circle Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
  • check_circle Development and maintenance of efficient data pipelines for automated data acquisition and processing.
  • check_circle Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
  • check_circle Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
  • check_circle Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Basic qualifications

  • Strong proficiency in Python with hands-on experience in AI/ML libraries (LangChain, LlamaIndex, or similar) and building production-grade applications.
  • Proven ability to design, test, and optimise prompts for Anthropic models, including implementing RAG (Retrieval-Augmented Generation) patterns, MCP, and A2A protocols
  • Familiarity with ML model deployment pipelines, monitoring, versioning, and automated testing frameworks for AI applications

Preferred qualifications

  • Experience with vector stores (Pinecone, Weaviate, or AWS OpenSearch) and semantic search implementations for context-aware AI applications
  • Experience building RESTful or GraphQL APIs and designing scalable, event-driven architectures for AI-powered services
  • Experience deploying and managing applications on AWS, including Amazon Bedrock, Lambda, API Gateway, and related services for scalable GenAI solutions

About the company

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.

Tags & Focus Areas

Ai Ai Engineer Generative Ai

Ready to Apply?

Join Barclays and help shape the future of AI.

Save for later

About Barclays

Ready to Join the Team?

Apply once with DevFound — we route your profile to Barclays and keep you posted on matching AI roles.