Brown & Brown Insurance
AI Engineer

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AI Engineer
Location: Hybrid - London
Package: Negotiable + Benefits
Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
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:
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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).
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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.
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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.
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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- 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:
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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).
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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.
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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.
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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.
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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.
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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.


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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.
Founded in 1939 as a small, two-partner firm, Brown & Brown (NYSE: BRO) and our team of companies have grown into one of the world’s largest insurance brokerages while staying true to our foundation of trust, resilience and delivering results. With a team that is as connected locally as it is globally, our high-performing, highly collaborative team delivers innovative risk and insurance solutions.
We look for individuals who embrace our culture, thrive in a collaborative environment, are driven to grow and succeed and are committed to always doing what is right. With a unique culture built on integrity, superior capabilities and grit, we value teamwork, trust and courage. We think of ourselves as a team, so we have teammates—not employees, and leaders—not managers. Everything we do is about the greater “WE”—never “me.” While diverse in abilities and experience, we are all connected through our core values, a commitment to our local communities and a shared mission—always doing what is best for our customers.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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