At a Glance
- Tasks: Lead AI integration in software development and design scalable platforms.
- Company: Global InsurTech business revolutionising technology with a focus on AI.
- Benefits: Up to £130k salary, flexible working, 25 days holiday, and career development.
- Other info: Join a dynamic team with opportunities for mentorship and growth.
- Why this job: Shape the future of AI in tech and drive impactful change at scale.
- Qualifications: Experience in software engineering, AI applications, and strong communication skills.
Salary: £100,000 - £130,000 per year
Requirements:
- Extensive experience in software, platform or infrastructure engineering, with a track record of delivering large-scale, developer-facing platforms and leading complex technical initiatives.
- Hands-on experience building AI-enabled applications using LLMs, agentic frameworks, RAG, prompt engineering and modern GenAI tooling.
- Strong knowledge of software engineering fundamentals, including system design, APIs, CI/CD, testing, observability, cloud-native architecture and operational excellence.
- Ability to design scalable platforms, SDKs and self-service tooling that simplify complexity and accelerate engineering teams.
- Proficient with Python and one or more modern programming languages such as C#, JavaScript or TypeScript, together with experience of AWS, Azure or GCP.
- Excellent communication skills, with the ability to influence engineers, product leaders and senior stakeholders and drive technical adoption across the organisation.
- Pragmatic with an engineering-first mindset, balancing innovation with reliability, security, governance and measurable business outcomes.
- 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.
Responsibilities:
- Lead the evolution of an AI-enabled Software Development Lifecycle.
- Define the technical vision and build core platform capabilities.
- Establish engineering practices that make AI a trusted part of everyday software delivery.
- Work across Engineering, Platform, Security, Data and Product teams to design and implement reusable AI infrastructure.
- Build SDKs, deployment frameworks, model management, evaluation tooling and self-service platforms.
- Help teams rapidly integrate AI into coding, testing, deployment, monitoring and operations.
- Establish best practices for prompt engineering, RAG architectures, agentic workflows, model versioning, experimentation and governance.
- Ensure AI capabilities are scalable, secure and production ready.
- Create implementation playbooks, architectural guidance and operational standards.
- Mentor engineering teams and lead technical workshops.
- Become the go-to expert for AI platform architecture and integration challenges.
- Work closely with Security and Compliance to embed robust guardrails, observability and governance into every layer of the platform.
Technologies: AI, AWS, Azure, C#, CI/CD, Cloud, GCP, JavaScript, Python, Security, TypeScript, Architect.
More:
We are a global InsurTech business producing game-changing technology, offering an impactful opportunity to shape AI adoption and technical transformation at enterprise scale. We offer a flexible hybrid working model, with two days a week in our Reigate office for team meet-ups and stakeholder meetings and three days working from home. Our package includes up to £130k salary plus bonus, 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.
AI Enablement Lead employer: Client Server
Client Server is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive salaries, comprehensive benefits including life assurance and a wellness package, and the flexibility to work from home, employees are empowered to thrive both personally and professionally. Join a highly profitable Hedge Fund where your skills will be valued, and you will have ample opportunities for career progression in a senior role.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Lead
✨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
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.
