At a Glance
- Tasks: Join a dynamic team to shape AI transformations for top-tier clients.
- Company: Wavestone, a global consulting powerhouse with a focus on innovation and growth.
- Benefits: Competitive salary, flexible work options, and tailored training opportunities.
- Other info: Be part of a diverse culture that values collaboration and employee growth.
- Why this job: Make a real impact in AI engineering while growing your skills in a supportive environment.
- Qualifications: Strong programming skills in Python and TypeScript/JavaScript, with AI application experience.
The predicted salary is between 60000 - 80000 £ per year.
Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone, energetic, solution-driven experts who focus as much on people as on performance and growth. We share a deep desire to make a positive impact. Our services span business and digital transformation, cybersecurity, operational improvement, risk advisory, and IT advisory.
In 2025, we received the UK’s Great Place to Work accreditation, and we are proud to have been recognized in the following Best Workplaces categories: Large Organizations, Wellbeing, Development and Best Workplace for Women.
Joining Wavestone’s UK Data & AI Service Line offers the opportunity to help shape large-scale AI and data transformations for FTSE100 organisations and enterprise clients. You will be part of a high-performing consulting and engineering team delivering both advisory and hands-on implementation across AI strategy, AI engineering, GenAI solutions, and modern AI architecture patterns.
This role is intentionally platform-agnostic. While experience with tools such as Anthropic Claude, OpenAI models (e.g. Codex / GPT), and other frontier or open-source LLMs is valuable, we are primarily looking for individuals who understand core AI engineering principles and can apply them across ecosystems.
This is an ideal role for someone who combines:
- Deep technical and coding capability, with the ability to communicate complex concepts clearly to non-technical audiences
- Strong understanding of AI/GenAI systems and architecture
- Experience building agentic, production-grade AI solutions
- The ability to operate across the full lifecycle: from strategy to design to build to deploy and scale
As a senior member of the Data & AI practice, your key responsibilities will cover client delivery, business development, people development, and key contribution to our thought leadership.
Depending on your level of experience you will be expected to:
- Lead & Deliver Engagements: Take a central role in delivering AI-driven transformation engagements, overseeing the full lifecycle from strategy and architecture through to hands‑on build and production deployment.
- Business Development: Act as a trusted subject‑matter expert in AI engineering and GenAI during pre‑sales and sales activity.
- Thought Leadership & Proposition Ownership: Play a key role in shaping Wavestone’s AI and GenAI propositions.
- People Development: Support the growth of our Data & AI community by mentoring consultants and engineers.
- Maintain Expertise: Stay at the forefront of the rapidly evolving AI/GenAI landscape.
Core Skills & Experience:
- Strong hands-on programming skills (Python, TypeScript/JavaScript)
- Proven experience building AI/LLM-powered applications in production
- Deep understanding of AI/GenAI fundamentals
- Experience designing and implementing RAG systems
- Strong system design and architecture skills
- Experience with cloud platforms (AWS, Azure, GCP)
- Solid grounding in software engineering best practices
- Strong communication and stakeholder management skills
Desirable Experience:
- Experience across multiple AI platforms
- Familiarity with orchestration frameworks
- Experience optimising AI systems for performance, cost, and reliability
- Knowledge of enterprise architecture and regulated environments
Additional Information:
Wavestone values and promotes employee growth with a competitive compensation package, tailored training, and internal mobility. We embrace a collective mindset within a barrier-free, collaborative team.
Employees are not required to work in a Wavestone office on a full-time basis but are required to commute to the office/client site whenever necessary. Wavestone UK office is in the heart of the city of London.
At Wavestone, we celebrate diversity and inclusion. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, please reach out to us to discuss this.
Data and AI - AI Engineer in London employer: Wavestone
Wavestone is an exceptional employer that prioritises employee growth and well-being, offering a vibrant work culture in the heart of London. With a commitment to professional development, competitive benefits, and a strong focus on diversity and inclusion, employees thrive in an empowering environment that encourages collaboration and innovation. Join us to be part of a dynamic team dedicated to making a positive impact through cutting-edge AI solutions for leading organisations.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI - AI Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Wavestone. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source. When you get the chance to chat with recruiters or hiring managers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for those interviews! Research Wavestone’s recent projects and think about how your skills can contribute. Be ready to discuss your experience with AI engineering and how you can help clients transform their businesses.
✨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, it shows you’re genuinely interested in joining the Wavestone team.
We think you need these skills to ace Data and AI - AI Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with AI systems, coding skills, and any relevant projects that showcase your ability to deliver AI-driven transformations.
Showcase Your Technical Skills:Don’t hold back on your programming prowess! Include specific examples of your work with Python, TypeScript, or JavaScript, and any AI/GenAI applications you've built. We want to see your hands-on experience shine through.
Communicate Clearly:Remember, you’ll need to explain complex concepts to non-technical folks too. Use clear, straightforward language in your application to demonstrate your ability to bridge the gap between tech and business.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Wavestone!
How to prepare for a job interview at Wavestone
✨Know Your AI Fundamentals
Before the interview, brush up on your understanding of AI and GenAI principles. Be ready to discuss model behaviour, limitations, and evaluation techniques. This will show that you have a solid foundation and can communicate complex concepts clearly.
✨Showcase Your Coding Skills
Prepare to demonstrate your programming skills in Python and TypeScript/JavaScript. You might be asked to solve coding problems or discuss past projects where you built AI solutions. Bring examples of your work that highlight your technical capabilities.
✨Understand the Business Context
Familiarise yourself with Wavestone's focus areas, especially in sectors like Insurance and Financial Services. Be prepared to discuss how your technical skills can help clients transform their businesses and tackle specific challenges they face.
✨Engage in Thought Leadership
Be ready to share your insights on emerging AI trends and technologies. Discuss any contributions you've made to thought leadership, whether through articles, open-source projects, or internal capability building. This shows your commitment to staying at the forefront of the industry.
