At a Glance
- Tasks: Lead AI adoption and transform software development at a global InsurTech company.
- Company: Join a pioneering InsurTech firm revolutionising technology in finance.
- Benefits: Earn up to £130k, enjoy hybrid work, and receive generous holiday and parental leave.
- Other info: Flexible work model with excellent career growth and training opportunities.
- Why this job: Make a real impact by shaping AI integration in software delivery.
- Qualifications: Experience in software engineering and AI-enabled applications is essential.
The predicted salary is between 80000 - 100000 £ per year.
Do you have experience of leading AI adoption and technical transformation within an enterprise scale organisation? You could be progressing your career in an impactful role at a global InsurTech business that is producing game changing technology.
As an AI Enablement Lead you will lead the evolution of an AI enabled Software Development Lifecycle, defining the technical vision, building the core platform capabilities and establishing the engineering practices that make AI a trusted part of everyday software delivery. Working across Engineering, Platform, Security, Data and Product teams, you'll design and implement reusable AI infrastructure including SDKs, deployment frameworks, model management, evaluation tooling and self-service platforms that allow teams to rapidly integrate AI into coding, testing, deployment, monitoring and operations.
You'll establish best practices for prompt engineering, RAG architectures, agentic workflows, model versioning, experimentation and governance, ensuring AI capabilities are scalable, secure and production ready. Beyond the technology, you'll play a pivotal role in driving adoption across the organisation. You'll create implementation playbooks, architectural guidance and operational standards, mentor engineering teams, lead technical workshops and become the go-to expert for AI platform architecture and integration challenges. You'll also work closely with Security and Compliance to embed robust guardrails, observability and governance into every layer of the platform.
Location / WFH: There's a flexible work from home hybrid model, you'll join colleagues in the Reigate office twice a week for team meet-ups and stakeholder meetings with the other three days work from home.
About you:
- You have extensive experience in software, platform or infrastructure engineering, with a track record of delivering large-scale, developer facing platforms and leading complex technical initiatives.
- You have hands-on experience building AI-enabled applications using LLMs, agentic frameworks, RAG, prompt engineering and modern GenAI tooling.
- You have a strong knowledge of software engineering fundamentals, including system design, APIs, CI/CD, testing, observability, cloud-native architecture and operational excellence.
- You can design scalable platforms, SDKs and self-service tooling that simplify complexity and accelerate engineering teams.
- You're proficient with Python and one or more modern programming languages such as C#, JavaScript or TypeScript, together with experience of AWS, Azure or GCP.
- You have excellent communication skills, with the ability to influence engineers, product leaders and senior stakeholders and drive technical adoption across the organisation.
- You're pragmatic with an engineering first mindset, balancing innovation with reliability, security, governance and measurable business outcomes.
- You have a genuine enthusiasm for AI and developer experience, with the curiosity to stay at the forefront of emerging technologies and the leadership skills to help others adopt them successfully.
What's in it for you: As a AI Enablement Lead you will receive a competitive salary plus a range of perks and benefits:
- Up to £130k salary plus bonus
- Hybrid working (3 days a week work from home)
- Enhanced parental leave
- 25 days holiday (plus buy days and your birthday off)
- Pension, Health Care and Life Assurance
- Training and career development
- Social events and a range of other perks
Apply now to find out more about this AI Enablement Lead / Architect opportunity.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Lead - Fintech in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Client Server or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Client Server.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Client Server.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Client Server that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Enablement Lead - Fintech in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Client Server.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Client Server and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Client Server
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Client Server uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
