At a Glance
- Tasks: Lead the design and evolution of our API and AI platforms while mentoring a high-performing team.
- Company: Join Wolters Kluwer, a global tech innovator making a real difference every day.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Embrace a culture of continuous learning and innovation.
- Why this job: Make an impact with cutting-edge technology in a dynamic and collaborative environment.
- Qualifications: 10+ years in software engineering with expertise in APIs and AI platforms.
The predicted salary is between 54000 - 90000 £ per year.
Join us at Wolters Kluwer and be part of a dynamic global technology company that makes a difference every day. We are seeking a Chief Engineer, API and AI Platforms to lead the design, build, and evolution of our API infrastructure and Agentic AI workflow platform. This role combines hands-on technical leadership with product-oriented engineering, operating at the intersection of platform engineering, APIs, cloud, and AI.
You will be responsible for building scalable, secure, and cloud-agnostic platforms that enable:
- External and internal consumers to discover, subscribe to, and use APIs
- Agentic AI workflows that orchestrate models, tools, and enterprise systems safely
- Strong governance, security, and CI/CD automation from day one
This is a player-coach role: you will architect and code critical components, while also leading and growing high-performing engineering teams.
Key Responsibilities:
- Platform & Architecture Leadership
- Lead the end-to-end engineering of an API platform, including API onboarding, publishing, discovery, versioning, and deprecation.
- Developer portals, API products, plans, entitlements, and subscriptions.
- Runtime enforcement via API Gateway and policy engines.
- Design and build Agentic AI workflows, including orchestration of LLMs, tools, and enterprise APIs.
- Define reference architectures that are cloud-agnostic, scalable, and compliant.
- Hands-On Engineering
- Remain deeply hands-on in backend services, platform components, and AI integration layers.
- Set and uphold engineering standards for code quality, testing, observability, and resilience.
- CI/CD, DevSecOps & Platform Automation
- Own and evolve CI/CD pipelines for platform and AI workloads.
- Embed DevSecOps practices.
- Product & Stakeholder Collaboration
- Partner closely with Product Management, Architecture, Security, and Data teams.
- Act as a technical authority and trusted advisor to senior stakeholders.
- People Leadership
- Lead, mentor, and grow senior engineers and technical leads.
- Foster a culture of engineering excellence, ownership, and accountability.
Required Experience & Skills:
- 10+ years in software engineering, with recent experience in platform or product engineering.
- Strong background in API-first design and distributed systems.
- Deep understanding of API Gateway & API Management concepts.
- Hands-on experience with LLM-based systems.
- Strong experience with cloud platforms (AWS, Azure, GCP, or hybrid).
Leadership & Mindset:
- Comfortable operating at Associate Director level, balancing strategy and execution.
- Strong communication skills — able to explain complex systems clearly.
Nice to Have:
- Experience with API monetisation, entitlements, or licensing models.
- Exposure to AI marketplaces or AI-enabled SaaS platforms.
If you think that you have the needed requirements click on the apply button to join us and be the difference. If making a difference matters to you, then you matter to us.
All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender identity, sexual orientation, national origin, disability, or any other protected status, in accordance with local regulations.
Our Interview Practices: To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you—not a digital assistant.
Chief Engineer, API and AI Platforms in London employer: Wolters Kluwer
Wolters Kluwer is an exceptional employer, offering a dynamic work culture in the heart of Greater London that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation packages, and a commitment to work-life balance, making it an ideal environment for those looking to make a meaningful impact in revenue operations.
StudySmarter Expert Advice🤫
We think this is how you could land Chief Engineer, API and AI Platforms 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 Wolters Kluwer 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 Wolters Kluwer.
✨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 Wolters Kluwer.
✨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 Wolters Kluwer 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 Chief Engineer, API and AI Platforms 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 Wolters Kluwer.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wolters Kluwer 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 Wolters Kluwer
✨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 Wolters Kluwer 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.
