Join us as an AI Engineer — as we use AI to facilitate migrations to modernise legacy systems, you will get real exposure to AI, you will solving problems to help us achieve its data ambitions. We are now making the previously impossible, possible.
Location: Northampton
Essential Qualifications
* Data engineering expertise with hands‑on experience building production‑grade data pipelines, data warehouses, and ETL/ELT processes using modern frameworks (e.g. Apache Spark, Airflow, Kafka, dbt) and cloud data platforms (e.g. AWS/Azure – Redshift, Snowflake, Databricks).
* Solid technical foundation with proficiency in Python and SQL, experience with DataOps/MLOps practices including data quality monitoring, versioning, CI/CD for data pipelines, and track record of delivering reliable data solutions from concept to production.
* Familiarity with AI/ML infrastructure including experience supporting AI applications through vector databases, embedding pipelines, data preparation for LLMs and RAG architectures, and understanding of how data flows support AI workloads.
Highly Valued Skills
* Proficiency in modern programming languages (Python, Scala, Java), containerisation (Docker, Kubernetes), infrastructure‑as‑code (Terraform), and knowledge of AI/ML frameworks (e.g. LangChain, LlamaIndex, Hugging Face, MCP).
* Experience with streaming data architectures and real‑time data processing (Kafka, Flink) to support low‑latency AI applications and analytics use cases.
* Experience with data visualization and analytics tools (Tableau, Power BI, Looker) and front‑end frameworks (React, JavaScript) to support end‑to‑end solution delivery and user interfaces.
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, as well as job‑specific technical skills.
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
* Development and delivery of high‑quality software solutions by using industry‑aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimised for performance.
* Cross‑functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
* Collaboration with peers, participation in code reviews, and promotion of a culture of code quality and knowledge sharing.
* Staying informed of industry technology trends and innovations and active contribution to the organisation’s technology communities to foster a culture of technical excellence and growth.
* Adhering to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
* Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Assistant Vice President Expectations
* To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions and business divisions.
* Lead a team performing complex tasks, using well‑developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes.
* 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 consistently excellent standards. 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 will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross‑functional methodologies or practices to meet required outcomes.
* Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
* Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
* Take ownership for managing risk and strengthening controls in relation to the work done.
* Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub‑function.
* Collaborate with other areas of work, for business‑aligned support areas to keep up to speed with business activity and the business strategy.
* Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively.
* Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
* Influence or convince stakeholders to achieve outcomes.
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.
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