AI Engineer

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

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

All responsibilities must be performed in a timely manner and to a high standard consistently driving continuous improvement.

Requires in-depth technical knowledge and experience in the assigned area of expertise.

Requires a thorough understanding of the underlying principles and concepts within the area of expertise.

Lead and supervise a team, guiding and supporting professional development, allocating work, and coordinating resources. Leadership behaviours: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.

For an individual contributor: develop technical expertise, act as an advisor where appropriate, partner with other functions, take responsibility for operational results, and influence decision making within own area of expertise.

Take ownership of risk management and strengthen controls, deliver work in line with relevant rules, regulations and codes of conduct, and continually build an understanding of how own sub function integrates with the wider function.

Demonstrate understanding of how areas coordinate to achieve organisational objectives, make evaluative judgements, resolve problems through technical experience, guide and persuade team members, and communicate complex or sensitive information.

All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset - to Empower, Challenge and Drive.

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.

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.
• Collaborating with engineering teams to build scalable, secure, and production ready applications that deliver business value.

To be successful as an AI Engineer, you should have:

• Strong proficiency in Python with hands on experience in AI/ML libraries such as 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.

Some other highly valued skills may include:

• 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.

You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology capabilities, as well as job specific technical skills.

This role will be based in Glasgow.