At a Glance
- Tasks: Lead the testing strategy for AI solutions in a dynamic financial services environment.
- Company: Join a forward-thinking consulting partner focused on innovative AI applications.
- Benefits: Competitive day rate, hybrid working, and potential for contract extension.
- Other info: Opportunity to work with cutting-edge technology and engage with senior stakeholders.
- Why this job: Shape the future of AI testing and make a real impact in a regulated industry.
- Qualifications: Proven experience in QA leadership and a strong understanding of AI testing strategies.
The predicted salary is between 60000 - 65000 € per year.
We're supporting a consulting partner on the search for a Lead AI Tester / QA Lead to define and own the testing strategy for several AI / LLM use cases at a major financial services client. This role is primarily about strategy, governance and delegation, with some scope to remain hands‐on.
The opportunity
- Create and maintain the test strategy and playbook for AI solutions - covering functional and non‐functional testing, regression, safety, bias, hallucinations, performance and cost.
- Translate that strategy into clear documentation and workflows (e.g. Confluence playbooks, Jira ticket structures, test plans and checklists).
- Delegate and coordinate execution across QA engineers and developers, ensuring test activities are properly defined, prioritised and completed.
- Define how AI testing fits into the CI/CD pipeline and SDLC: where tests run, what they block, and how results are surfaced.
- Establish and track evaluation metrics and monitoring for AI systems (e.g. quality, drift, safety, latency, cost), and report these to stakeholders.
- Guide and engage both internal and client stakeholders on all aspects of testing – test strategy definition, standards, metrics, monitoring and release readiness.
What we're looking for
Must have:
- Proven experience as a Test Lead / QA Lead / SDET owning test strategy and automation in complex environments (ideally financial services or similar).
- Ability to create a test strategy document or playbook for AI solutions and keep it current.
- Experience delegating execution of a test strategy to other team members – for example via Jira ticket definition and structured test packs.
- Strong understanding of how tests and environments fit into CI/CD pipelines and wider SDLC activities.
Should have:
- Practical exposure to testing AI / ML / LLM‐based systems (e.g. chatbots, RAG applications, AI‐assisted workflows) and an interest in deepening this.
- Familiarity with approaches to evaluating LLM outputs (for example, semantic‐similarity based methods or using LLM‐as‐a‐judge), and with concepts such as hallucinations, safety, and drift.
- Experience working in consulting or client‐facing roles and presenting testing approaches and results to senior stakeholders.
Details
- Location: UK‐based, hybrid working with client and consulting teams.
- Contract: Initially 3–6 months, with strong potential to extend.
- Day rate: Up to around £600–650 per day, depending on experience.
If you're a QA leader who wants to shape how AI and LLM solutions are tested in a regulated environment and can turn that thinking into a clear, usable playbook, please get in touch.
Lead AI Tester / QA Lead (LLM & GenAI) in London employer: LinkedIn
As a Lead AI Tester / QA Lead, you will join a forward-thinking consulting partner that values innovation and excellence in the financial services sector. With a hybrid working model, you will enjoy a collaborative work culture that fosters professional growth and encourages the sharing of ideas, while also benefiting from competitive day rates and the opportunity to shape testing strategies for cutting-edge AI solutions. This role not only offers the chance to work with talented teams but also provides a platform for you to make a significant impact in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Tester / QA Lead (LLM & GenAI) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and QA space. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your testing strategies and any successful projects you've led. This is your chance to demonstrate how you can own the testing strategy for AI solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of CI/CD pipelines and AI testing methodologies. Be ready to discuss how you would translate a test strategy into actionable workflows, just like the role requires.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who can help shape the future of AI testing. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead AI Tester / QA Lead (LLM & GenAI) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with test strategies and AI solutions. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Leadership Skills:Since this role involves delegating and coordinating across teams, it’s crucial to demonstrate your leadership experience. Share examples of how you've successfully led QA teams or managed testing strategies in complex environments.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and structure your documents well. We appreciate a well-organised playbook just as much as you do, so make it easy for us to read through your application.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at LinkedIn
✨Know Your Testing Strategy Inside Out
Before the interview, make sure you thoroughly understand the testing strategy for AI solutions. Be ready to discuss how you would create and maintain a test playbook, covering all aspects like functional and non-functional testing. This will show your potential employer that you can hit the ground running.
✨Showcase Your Delegation Skills
Prepare examples of how you've successfully delegated tasks in previous roles. Discuss how you structured Jira tickets or defined test packs to ensure clarity and efficiency. This will demonstrate your ability to coordinate with QA engineers and developers effectively.
✨Familiarise Yourself with CI/CD Pipelines
Brush up on how testing fits into CI/CD pipelines and the software development lifecycle (SDLC). Be ready to explain where tests run, what they block, and how results are surfaced. This knowledge is crucial for the role and will impress your interviewers.
✨Engage with Stakeholders
Think about how you've previously engaged with stakeholders, especially in client-facing roles. Prepare to discuss how you presented testing approaches and results to senior stakeholders. This will highlight your communication skills and ability to guide others through complex testing strategies.
