United States onlyBuilt on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
Brown & Brown is seeking an AI & Data Architect to join our growing team!
The AI & Data Integration Architect will design and implement enterprise-grade integration solutions that connect data platforms, AI models, and business applications. This role ensures seamless interoperability between data pipelines, AI services, and operational systems, enabling scalable and secure AI-driven insights across the organization.
How You Will Contribute:
Solution Architecture and Design
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.
Data and AI Integration
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.
Technology Leadership
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.
Collaboration and Stakeholder Engagement
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.
Governance and Compliance
Ensure integrations adhere to data privacy, security, and regulatory requirements.
Implement monitoring and alerting for integration health and AI model performance.
Skills and Experience to be Successful:
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. preferred
Certifications in cloud architecture (Azure Solutions Architect, AWS Certified Architect). preferred
Experience with MLOps tools (MLflow, Kubeflow) and container orchestration (Kubernetes). preferred
Pay Range
$140,000 - $160,000 AnnualThe pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.
Teammate Benefits & Total Well-Being
We go beyond standard benefits, focusing on the total well-being of our teammates, including:
- 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.
Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.
The Power To Be Yourself
As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.
