AI Engineer

Brown & Brown Insurance

. Design, build, and deploy AI-powered applications including chatbots, copilots, document intelligence, and decision-support tools for insurance use cases .

Posted 10/30/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI-powered applications, particularly in the insurance sector, with a strong focus on integrating AI services, managing data for AI use cases, and ensuring compliance with regulatory standards. Proficient in utilizing Google Cloud Platform and implementing scalable architectures while effectively communicating AI concepts to diverse stakeholders.

Highest-signal resume keywords

AI Solution DevelopmentGoogle Cloud PlatformPython DevelopmentChatGPT/OpenAI IntegrationRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application DesignRetrieval-Augmented GenerationVector DatabasesPrompt EngineeringCI/CD ImplementationDocker DeploymentData ManagementAPI IntegrationProduction-Grade CodeSemantic Search

Soft Skills

Strong Communication SkillsStakeholder Engagement

Tools & Technologies

Google Cloud PlatformVertex AIBigQueryCloud RunChatGPTAnthropic ClaudeDockerVersion ControlMonitoring ToolsLogging Tools

Industry Keywords

InsuranceFinancial ServicesData PrivacyRegulated EnvironmentsComplianceUnderwritingClaimsBroking

Tech Stack

Tools & technologies

BigQueryCloudDockerGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Design, build, and deploy AI-powered applications including chatbots, copilots, document intelligence, and decision-support tools for insurance use cases
Implement Retrieval-Augmented Generation patterns using structured and unstructured insurance data
Build LLM-based workflows and agents using ChatGPT/OpenAI and Claude/Anthropic
Develop and deploy AI solutions on Google Cloud Platform using Vertex AI, BigQuery, Cloud Run, and secure API integrations
Implement scalable and resilient production architectures for regulated financial services
Integrate AI services into existing business applications and workflows
Prepare, embed, and manage data for AI use cases, including vector databases and embeddings
Implement CI/CD, monitoring, logging, and model performance tracking
Ensure solutions are maintainable, reusable, and cost-effective
Align AI solutions 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 support safe AI adoption
Translate business problems into AI solutions with Product Owners, Underwriters, Brokers, Operations, and Technology teams
Explain AI concepts, limitations, and outcomes to non-technical stakeholders
Contribute to Brown & Brown Europe’s AI standards, patterns, and reusable components

Requirements

What you’ll need

Degree in Computer Science, Engineering, AI, or a related discipline, or equivalent practical experience
Demonstrated experience delivering AI solutions into production
Strong Python development experience with production-grade code
Experience integrating AI services via APIs and building backend services
Familiarity with version control, testing, and 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, 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 such as LangChain-style patterns is desirable
Experience delivering AI or data solutions in insurance or financial services is highly desirable
Understanding of insurance workflows such as underwriting, claims, broking, or compliance
Experience working in regulated environments with strong data protection requirements
Strong communication skills and ability to explain AI outcomes and risks clearly

Benefits

Comp & perks

Negotiable basic salary
Benefits including holiday and company pension
Flexible working methodology
Choice to work from an office or remotely when office attendance is not needed
Funding for relevant professional qualifications
Collaborative, open and honest working environment
Staff support and development opportunities