Barclays
GenAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“GenAI Engineer at Barclays. Skills: GenAI solutions, Large Language Models (LLMs), prompt engineering, LLM API integration, Retrieval-Augmented Generation (RAG), Python, Oracle/SQL, Unix, APIs, SDKs, embeddings, model fine-tuning, Data modelling, schema design. build and maintain the systems that collect, store, process, and analyse data. Build and maintenance of data architectures pipelines”
What You'll Achieve.
ensure that all data is accurate, accessible, and secure; enable the transfer and processing of durable, complete and consistent data; manage the appropriate data volumes and velocity and adhere to the required security measures; fit for the intended data complexity and volumes; consistently driving continuous improvement; deliver to a consistently excellent standard; high‑quality outputs
Industry & Context.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents; Make evaluative judgements based on the analysis of factual information, paying attention to detail
What They're Looking For.
Must Have
Implementing GenAI solutions using Large Language Models (LLMs), Basics of prompt engineering, LLM API integration, Retrieval-Augmented Generation (RAG), hands-on experience in Programming Languages and Analytical/Critical thinking, Proficiency in Python, A sound understanding of Oracle/SQL, database querying skills, Unix, Experience with APIs and SDKs, Familiarity with embeddings, model fine-tuning, Experience with algorithms for Synthetic Data Generation, Competence in Data modelling, schema design, Understanding of Data Masking and Anonymisation techniques
Nice to Have
Basics of Linux commands, Bash scripting, Ability to integrate with CI/CD pipelines, GitLab workflow, SonarQube for code quality, Understanding of Cloud platforms, Ability to work in Agile environments
What You'll Do.
build and maintain the systems that collect
Build and maintenance of data architectures pipelines
Design and implementation of data warehoused and data lakes
Development of processing and analysis algorithms
Collaboration with data scientist to build and deploy machine learning models
and optimizing GenAI solutions
developing RAG pipelines
integrating models with enterprise data sources and APIs
scalable GenAI components
ensure high‑quality outputs through proper versioning
and adherence to Barclays governance standards
How You'll Work.
Team & Collaboration
Collaboration with data scientist; collaborate with data and platform teams; Partner with other functions and business areas; Guide and persuade team members; Act as contact point for stakeholders outside of the immediate function; building a network of contacts outside team and external to the organisation
Communication Scope
communicate complex / sensitive information
Process & Methodology
allocating work requirements, coordinating team resources, Takes responsibility for end results of a team’s operational processing and activities
Full Job Description
# **Job Description** **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** * 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. **Analyst Expectations** * To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. * Requires in-depth technical knowledge and experience in their assigned area of expertise * Thorough understanding of the underlying principles and concepts within the area of expertise * They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. * 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 to a consistently excellent standard. 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 develop technical expertise in work area, acting as an advisor where appropriate. * Will have an impact on the work of related teams within the area. * Partner with other functions and business areas. * Takes responsibility for end results of a team’s operational processing and activities. * Escalate breaches of policies / procedure appropriately. * Take respon
Applying for this GenAI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Barclays?
Real rants from real employees. Read before you apply.