At a Glance
- Tasks: Design and build user-friendly interfaces for AI governance and observability platforms.
- Company: Join a leading bank at the forefront of AI technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a real impact on AI systems while enhancing user experiences.
- Qualifications: Experience in web applications, UX design, and modern front-end technologies.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a UX / Software Engineer who will work as part of a cross‑functional engineering team to build the pipelines, services, and monitoring capabilities that underpin AI observability and governance across the bank. This is a hands‑on, high‑impact role at the intersection of AI governance, distributed systems, observability, and platform engineering. You will develop core components of the platform, contribute to its evolution, and ensure our AI systems are measurable, transparent, and well‑controlled from model training through to production.
Responsibilities
- As a UX / Software Engineer for the AI Control Tower, you will focus on designing and building intuitive, trustworthy, and effective user experiences for complex AI governance and observability platforms.
- Build and Enhance Platform Capabilities
- Design, prototype, and implement user interfaces that surface AI system governance and monitoring performance clearly and responsibly.
- Translate complex AI telemetry (model performance, drift, guardrails, governance metrics) into actionable, human‑readable visualisations and workflows.
- Build front‑end components, dashboards, and control surfaces that enable users to:
- Monitor AI and GenAI systems across their lifecycle
- Investigate incidents, anomalies, or policy breaches
- Understand governance, risk, and compliance signals
- Develop accessible, performant, and consistent UI components aligned with design system standards.
- Engineer a Robust, Resilient, and Secure AI Environment
- Design UX patterns that support explainability, traceability, and user confidence in AI systems.
- Collaborate on APIs, services, and data contracts that support UX requirements for AI observability and governance.
- Implement front‑end and supporting backend logic using modern frameworks and languages (e.g. React, TypeScript, Python, Java, QuickSight, Grafana).
- Consume and visualise data from observability pipelines, event streams, and metrics platforms.
- Ensure reliable handling of near‑real‑time data, alerts, and state changes in the UI.
- Collaborate with Engineers & Domain Specialists
- Work closely with data engineering, platform engineering, security, MLOps, and Independent Model Monitoring (IMM) teams.
- Contribute to integration efforts with AWS SageMaker, model pipelines, and enterprise data platforms.
- Use technologies such as AWS, SageMaker, Python, Java, Kafka, OpenTelemetry, and cloud‑native monitoring stacks.
- Support governance and reporting workflows with automated checks, standardised metrics, and platform tooling.
- Innovate and Improve
- Identify UX gaps in monitoring, investigation, or governance workflows and propose improvements.
- Contribute to shared UI components, design patterns, and front‑end engineering standards.
- Support continuous improvement of CI/CD, testing, performance optimisation, and accessibility practices.
- Stay current with emerging UX patterns for AI systems, observability tooling, and data‑intensive applications.
What We’re Looking For
You are a UX‑minded software engineer who enjoys simplifying complex systems without losing fidelity. You are motivated by building tools that help people safely operate, understand, and trust advanced AI platforms.
Essential Skills & Experience
- Strong experience building modern web applications with a focus on UX and usability.
- Proficiency in front‑end technologies such as:
- React (or similar frameworks)
- HTML, CSS, and modern UI tooling
- Proven experience integrating RESTful APIs and working with microservices‑based backends.
- Experience working with Git‑based repositories (GitHub) and CI/CD pipelines using tools such as GitHub Actions, or similar.
- Familiarity with front‑end testing frameworks (Jest, React Testing Library, Cypress).
- Strong communication skills and ability to break down complex UI/UX requirements logically.
- Experience working in cross‑functional, agile engineering teams.
UX / UI Engineer on AI Systems employer: Lorien
Join a forward-thinking bank that prioritises innovation and collaboration, where as a UX / UI Engineer on AI Systems, you will play a pivotal role in shaping the future of AI governance and observability. Our inclusive work culture fosters creativity and continuous learning, offering ample opportunities for professional growth while working with cutting-edge technologies in a dynamic environment. Enjoy competitive benefits and the chance to make a meaningful impact in a high-stakes industry, all within a supportive team that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land UX / UI Engineer on AI Systems
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best UX/UI projects. Make it easy for potential employers to see what you can do and how you think.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI governance and observability. The more you rehearse, the more confident you'll feel!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. It shows initiative and enthusiasm!
We think you need these skills to ace UX / UI Engineer on AI Systems
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the UX / UI Engineer role. Highlight your experience with AI systems, user interfaces, and any relevant technologies like React or Python. We want to see how your skills align with our needs!
Showcase Your Projects:Include links to your portfolio or GitHub where we can see your work in action. Demonstrating your previous projects, especially those related to UX design and AI governance, will give us a better idea of your capabilities.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate applicants who can communicate complex ideas simply and effectively.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at Lorien
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like React, TypeScript, and Python. Brush up on your knowledge of RESTful APIs and microservices, as you’ll likely be asked to discuss how you’ve integrated these in past projects.
✨Showcase Your UX Mindset
Prepare to talk about your approach to designing user experiences, especially for complex systems. Think of examples where you simplified intricate processes or created intuitive interfaces, and be ready to explain your design choices and their impact on user trust and understanding.
✨Demonstrate Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share experiences where you collaborated with engineers, data specialists, or other stakeholders. Highlight how you communicated complex ideas clearly and contributed to team success.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI governance and observability. Be ready to discuss emerging UX patterns and tools that could enhance the platform. Showing that you’re proactive about learning will impress interviewers and demonstrate your passion for the field.
