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About the Role

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.

Responsibilities

• 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).
• 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.
• 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.
• 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.
• 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.

Requirements

• 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).
• 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.
• 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.
• 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.
• Experience delivering AI or data solutions in insurance or financial services (Highly Desirable).
• Understanding of insurance workflows such as underwriting, claims, broking, or compliance (Highly Desirable).
• Experience working in regulated environments with strong data protection requirements (Highly Desirable).
• 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.
• 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.

Skills

• Generative AI
• AI-driven applications
• Google Cloud Platform (GCP)
• Large Language Models (LLMs)
• ChatGPT
• OpenAI
• Claude
• Anthropic
• Retrieval-Augmented Generation (RAG)
• Python
• API integration
• Backend services
• Version control
• Testing
• CI/CD
• Prompt engineering
• Vector databases
• Semantic search
• Vertex AI
• BigQuery
• Cloud Run
• Docker
• Containerised workloads
• Cloud security
• IAM
• Cost management
• Vector stores
• Embeddings
• Document processing
• Orchestration frameworks
• LangChain

Location

• Hybrid - London

Work Type

• Hybrid
• Full-time

Experience Level

• Demonstrated experience delivering AI solutions into production
• A strong portfolio of real‑world AI or GenAI implementations is highly valued

Education Level

• Degree in Computer Science, Engineering, AI, or a related discipline (or equivalent practical experience)

Salary/Compensations

• Negotiable

Benefits

• Holiday
• Company pension
• Funding available for relevant professional qualifications

About the Company

• Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
• 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.

Equal Opportunity

• We are an Equal Opportunity Employer. We take pride in the diversity of our team and seek diversity in our applicants.