At a Glance
- Tasks: Define evaluation frameworks and develop automated test pipelines for AI services.
- Company: Global organisation leading in AI platform engineering.
- Benefits: Competitive daily rate, hybrid work model, and exposure to cutting-edge AI technology.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Join a transformative AI initiative and shape the future of enterprise AI.
- Qualifications: Strong Python skills and experience with automated testing in regulated environments.
A global organisation is building a centralised AI enablement and platform engineering function focused on delivering scalable, secure, and governed AI capabilities across the enterprise. This role sits within a programme delivering enterprise-grade agentic AI infrastructure, including internal AI assistants, retrieval and search services, extensibility frameworks, and governance tooling.
Programme Overview
The programme is focused on delivering a production-grade internal agentic AI platform, including:
- Development of an enterprise AI assistant capable of reasoning, planning, and tool orchestration
- Operation of enterprise retrieval, search, and grounding services for approved data sources
- Delivery of a secure internal gateway layer providing discovery, observability, policy enforcement, and lifecycle management for AI-integrated services
- Design and development of AI-integrated services and reusable capabilities that safely expose internal and third-party systems to AI agents
- Establishment of evaluation, governance, and quality-control frameworks to support scalable and compliant deployment of AI capabilities
The programme currently follows a centrally delivered model while evolving towards a federated contribution approach over time.
Key Responsibilities
- Define and implement evaluation frameworks covering correctness, safety, reliability, and regression impact for AI-integrated services
- Develop and maintain automated test pipelines for agentic workflows, including tool orchestration and multi-step execution paths
- Identify, evaluate, and mitigate AI system failure modes such as hallucinations, invalid inputs, latency issues, and inappropriate tool usage
- Produce testing and governance evidence required for internal approval and operational processes
- Collaborate closely with ML Engineers and platform teams to embed testability and evaluation capabilities into AI services
- Contribute to the long-term quality assurance and governance strategy for enterprise-wide AI platform adoption
Essential Skills and Experience
- Strong Python development experience, particularly for automation and test frameworks
- Experience with LLM and RAG evaluation tooling, frameworks, or custom evaluation pipelines
- Expertise in automated testing across unit, integration, and regression testing environments
- Good understanding of agentic AI systems, associated risks, and operational failure modes
- Ability to assess technical solutions against governance, audit, and security requirements
- Experience working within regulated or highly governed engineering environments
What’s on Offer
- Opportunity to contribute to large-scale enterprise AI transformation initiatives
- Exposure to cutting-edge AI platform engineering and governance challenges
- Collaborative environment working alongside platform engineers, ML specialists, and architecture teams
- Influence over the development of long-term AI quality and governance standards
- Opportunity to shape scalable AI engineering practices within a complex enterprise environment
Quality Engineer - AI Platform (Contract). Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a leading global organisation at the forefront of AI transformation, where you will play a pivotal role in shaping enterprise-grade AI capabilities. With a collaborative work culture in Central London, you will have the opportunity to work alongside top-tier professionals, contribute to innovative projects, and influence long-term quality and governance standards. Enjoy a hybrid working model that promotes work-life balance while being part of a dynamic team dedicated to pushing the boundaries of AI technology.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quality Engineer - AI Platform (Contract). Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the AI and engineering space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python projects, especially those related to automation and testing. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common quality engineering scenarios, especially around AI systems. Practice explaining how you’d tackle issues like system failures or governance challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quality Engineer - AI Platform (Contract). Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quality Engineer role. Highlight your Python development experience and any relevant work with AI systems. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your experience aligns with our goals. Keep it concise but impactful – we love a good story!
Showcase Your Experience:When detailing your experience, focus on specific projects where you've implemented automated testing or worked with AI frameworks. We’re keen to see how you’ve tackled challenges in regulated environments.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic AI systems and their operational failure modes. Be ready to discuss how you've tackled issues like hallucinations or latency in past projects. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Python Skills
Since strong Python development experience is essential, prepare to talk about specific projects where you've used Python for automation and testing frameworks. Bring examples of automated test pipelines you've developed, as this will demonstrate your hands-on expertise.
✨Understand the Governance Landscape
Familiarise yourself with governance, audit, and security requirements in engineering environments. Be prepared to discuss how you've assessed technical solutions against these standards in previous roles. This will highlight your ability to work within regulated settings.
✨Collaborate and Communicate
This role involves working closely with ML Engineers and platform teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve embedded testability into AI services, as teamwork is key in this position.
