Brown & Brown Insurance

AI & Data Integration Architect

Brown & Brown Insurance

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $140,000 - $160,000 per year

Job Level

SeniorLead

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformKubernetes

About the role

  • Define integration strategies for connecting AI models, data warehouses, and business applications.
  • Develop architectural blueprints for modular, API-driven, and event-based integrations.
  • Ensure compliance with enterprise security, governance, and performance standards.
  • Design workflows for ingesting, transforming, and serving data to AI models.
  • Implement integration patterns for real-time and batch AI inference.
  • Optimize data pipelines for latency, throughput, and cost efficiency.
  • Evaluate and recommend integration tools and platforms (e.g., Azure Data Factory, Databricks, API Gateways).
  • Establish best practices for AI model deployment and monitoring within integrated environments.
  • Drive adoption of MLOps and DataOps principles across teams.
  • Partner with data engineers, ML engineers, and business analysts to align integration solutions with business needs.
  • Communicate architectural decisions and trade-offs to technical and non-technical stakeholders.
  • Provide technical guidance to development teams during implementation.
  • Ensure integrations adhere to data privacy, security, and regulatory requirements.
  • Implement monitoring and alerting for integration health and AI model performance.

Requirements

  • 7+ years in solution architecture or integration engineering roles.
  • Strong experience with data integration platforms and cloud services (Azure, AWS, GCP).
  • Hands-on expertise in APIs, event-driven architectures, and ETL/ELT pipelines.
  • Familiarity with AI/ML frameworks and deployment practices.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • Certifications in cloud architecture (Azure Solutions Architect, AWS Certified Architect).
  • Experience with MLOps tools (MLflow, Kubeflow) and container orchestration (Kubernetes).
Benefits
  • Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services
  • Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
integration strategiesAPI-driven integrationsevent-based integrationsdata pipelinesreal-time AI inferencebatch AI inferenceETL pipelinesELT pipelinesMLOpsDataOps
Soft skills
technical guidancecommunicationcollaboration
Certifications
Azure Solutions ArchitectAWS Certified Architect
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