At a Glance
- Tasks: Design and deploy cutting-edge AI applications using Google Cloud and Large Language Models.
- Company: Join a forward-thinking insurance tech company with a collaborative culture.
- Benefits: Negotiable salary, flexible working, professional development funding, and standard benefits.
- Other info: Dynamic environment with opportunities for growth and learning in AI.
- Why this job: Make a real impact in the AI space while working on innovative projects.
- Qualifications: Strong Python skills and experience with AI services like ChatGPT and Claude.
The predicted salary is between 60000 - 80000 € per year.
Location: Hybrid - London
Package: Negotiable + Benefits
We are seeking an AI Engineer to design, build, and deploy Generative AI and AI‑driven applications using Google Cloud Platform (GCP) and leading Large Language Models (LLMs) such as ChatGPT (OpenAI) and Claude (Anthropic). This role is hands‑on and delivery‑focused: you will move AI from prototype to production, working closely with business stakeholders, data teams, and risk & compliance to deliver safe, scalable, and compliant AI solutions for regulated insurance environments.
The Day To Day
- AI Solution Design & Delivery
- Design, build, and deploy AI‑powered applications including chatbots, copilots, document intelligence, and decision‑support tools for insurance use cases.
- Implement Retrieval‑Augmented Generation (RAG) patterns using structured and unstructured insurance data (policies, submissions, bordereaux, claims documents).
- Build LLM‑based workflows and agents using platforms such as ChatGPT (OpenAI) and Claude (Anthropic).
- Cloud & Platform Engineering (GCP)
- Develop and deploy AI solutions on Google Cloud Platform, leveraging services such as Vertex AI, BigQuery, Cloud Run, and secure API integrations.
- Implement scalable, resilient architectures suitable for production use in a regulated financial services environment.
- Integrate AI services into existing business applications and workflows.
- Data, MLOps & Engineering
- Work with Data Engineers and Analysts to prepare, embed, and manage data for AI use cases, including vector databases and embeddings.
- Implement CI/CD, monitoring, logging, and model performance tracking for AI solutions.
- Ensure solutions are maintainable, reusable, and cost‑effective.
- Responsible AI & Governance
- Design AI solutions that align with Responsible AI, GDPR, and insurance regulatory expectations.
- Implement controls for data privacy, prompt safety, hallucination mitigation, and auditability.
- Partner with Risk, Compliance, and Security teams to ensure safe AI adoption.
- Collaboration & Stakeholder Engagement
- Work closely with Product Owners, Underwriters, Brokers, Operations, and Technology teams to translate business problems into AI solutions.
- Clearly explain AI concepts, limitations, and outcomes to non‑technical stakeholders.
- Contribute to shaping Brown & Brown Europe’s AI standards, patterns, and reusable components.
About You
- Core Engineering
- Strong Python development experience (production‑grade code).
- Experience integrating AI services via APIs and building backend services.
- Familiarity with modern software engineering practices (version control, testing, CI/CD).
- Generative AI & LLMs
- Hands‑on experience with ChatGPT / OpenAI APIs and/or Anthropic Claude.
- Practical experience with prompt engineering, system prompts, and evaluation techniques.
- Experience implementing RAG architectures, vector databases, and semantic search.
- Cloud & Platforms
- Strong experience with Google Cloud Platform (GCP), ideally Vertex AI.
- Experience deploying services using Docker / containerised workloads.
- Understanding of cloud security, IAM, and cost management.
- Data & AI Tooling
- Experience working with structured and unstructured data.
- Familiarity with vector stores, embeddings, and document processing pipelines.
- Exposure to orchestration frameworks (e.g. LangChain‑style patterns) is desirable.
- Domain Experience (Highly Desirable)
- Experience delivering AI or data solutions in insurance or financial services.
- Understanding of insurance workflows such as underwriting, claims, broking, or compliance.
- Experience working in regulated environments with strong data protection requirements.
- Soft Skills & Attributes
- Pragmatic problem‑solver focused on business value, not just models.
- Comfortable working in ambiguous, fast‑moving environments.
- Strong communication skills – able to explain AI outcomes and risks clearly.
- Collaborative mindset with a passion for continuous learning in a fast‑evolving AI landscape.
- Education & Experience
- Degree in Computer Science, Engineering, AI, or a related discipline (or equivalent practical experience).
- Demonstrated experience delivering AI solutions into production.
- A strong portfolio of real‑world AI or GenAI implementations is highly valued.
The Rewards
- A negotiable basic salary and all the normal benefits you’d expect (Holiday, company pension etc.)
- A collaborative, open and honest environment that is designed to deliver the best outcomes to our clients and staff
- A flexible working methodology to enable you to be where you need to be, if you don’t need to be in an office then don’t, if you want to be in an office your welcome to use one.
- An environment built around supporting and developing our staff with funding available for relevant professional qualifications.
We are an Equal Opportunity Employer. We take pride in the diversity of our team and seek diversity in our applicants.
AI Engineer in London employer: Brown & Brown UK
At Brown & Brown Europe, we pride ourselves on being an exceptional employer, offering a collaborative and open environment that fosters innovation and professional growth. Our hybrid working model in London allows for flexibility, while our commitment to employee development includes funding for relevant qualifications, ensuring that our team is equipped to thrive in the fast-evolving AI landscape. Join us to work on cutting-edge AI solutions in a supportive atmosphere that values diversity and encourages meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using GCP and LLMs. It’s a great way to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and be ready to discuss your experience with tools like ChatGPT and Claude. Practice explaining complex ideas simply – it’ll impress non-tech stakeholders!
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, GCP, and any relevant AI projects you've worked on. We want to see how your skills match what we're looking for!
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 your background makes you a great fit for our team. Don't forget to mention any experience with Generative AI or LLMs!
Showcase Your Projects:If you've got a portfolio of AI projects, make sure to include it! We love seeing real-world applications of your skills, especially if they relate to insurance or financial services. It helps us understand your hands-on experience.
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. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Brown & Brown UK
✨Know Your AI Tools
Make sure you’re well-versed in the tools mentioned in the job description, especially Google Cloud Platform and Large Language Models like ChatGPT and Claude. Familiarise yourself with their functionalities and how they can be applied to real-world insurance scenarios.
✨Showcase Your Projects
Prepare a portfolio of your previous AI projects, particularly those that demonstrate your experience in deploying AI solutions. Be ready to discuss the challenges you faced, how you overcame them, and the impact your work had on the business.
✨Understand the Business Context
Research the insurance industry and understand its workflows, such as underwriting and claims processing. This will help you translate technical concepts into business value during the interview, showing that you can bridge the gap between tech and business needs.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You’ll likely need to communicate with non-technical stakeholders, so being able to articulate your ideas clearly and concisely is crucial for success in this role.
