Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the delivery of scalable AI solutions that make a real business impact.
- Company: Join a global leader in loyalty and customer engagement.
- Benefits: Earn up to £110,000 with bonuses, flexible working, and private health.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Be the technical authority in AI engineering and drive innovation.
- Qualifications: Proven experience in AI systems and strong Python skills required.
The predicted salary is between 110000 - 110000 £ per year.
We’re partnered with a global leader in loyalty and customer engagement, looking for a Principal AI Engineer to join their London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead the delivery of advanced AI systems that deliver real business impact.
Responsibilities as a Principal AI Engineer:
- Lead end‑to‑end delivery of scalable, resilient AI/ML pipelines aligned to business goals.
- Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks.
- Mentor engineers in ML engineering, orchestration, and modern AI best practices.
- Communicate system behaviours, risks, and outcomes to both technical and non‑technical audiences.
- Partner with the Head of AI Labs to turn AI research and strategy into production‑ready solutions.
Key Requirements:
- Proven experience designing and productionising RAG pipelines and agentic AI architectures.
- Hands‑on delivery of agent‑based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production.
- Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality.
- Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads.
- Deep expertise in cloud‑native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‑tolerant systems.
Nice-to-Haves:
- TypeScript a plus; SQL proficiency for data work.
- Bridges technical and business teams with ease.
- Confident working with stakeholders at all levels.
- Shows initiative, works independently, and brings fresh ideas.
- Strong communicator able to present, guide, and influence effectively.
Benefits:
- Up to £110,000 Bonus
- Flexible working options at a Central London office
- Private Health, Great pension
- Work from anywhere for 2 months of the year
This is an exciting opportunity for a Principal AI Engineer to take technical authority and deliver a real world impact on at a Global business, we’d love to hear from you.
Unfortunately, due to high volume of applications, not all submissions will receive feedback.
Principal AI Software Engineer in London employer: Formula.
Contact Detail:
Formula. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving RAG pipelines and agentic architectures. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex AI concepts in simple terms, as you'll need to bridge the gap between technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to make a real-world impact in AI engineering.
We think you need these skills to ace Principal AI Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal AI Engineer role. Highlight your experience with RAG pipelines and agentic architectures, as well as your Python skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Don’t forget to mention your experience in delivering scalable AI solutions – we love that!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We’re keen to see examples of your work with ML, DL, and LLM solutions. This helps us understand your hands-on experience better!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to hear from you!
How to prepare for a job interview at Formula.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of RAG pipelines and agentic AI architectures. Be ready to discuss your hands-on experience with orchestration tools like LangChain or CrewAI, as well as your Python engineering skills. The more specific examples you can provide, the better!
✨Showcase Your Leadership Skills
As a Principal AI Engineer, you'll be expected to mentor others and lead projects. Prepare to share instances where you've successfully guided teams or influenced stakeholders. Highlight your ability to bridge technical and business teams, as this will be crucial in your role.
✨Communicate Clearly
You’ll need to explain complex AI concepts to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely. Consider using analogies or simple terms to make your points relatable, especially when discussing system behaviours and risks.
✨Be Ready for Problem-Solving
Expect to face some technical challenges during the interview. Prepare for scenario-based questions that test your problem-solving skills in real-world situations. Think about how you would design distributed, fault-tolerant systems on AWS and be ready to walk through your thought process.