AI Architect
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 12+ years of Data, Cloud, AI/ML, or Solution Architecture experience.
- Posting language
- English
- Posted
Original job description
We are seeking a highly experienced AI Architect to lead the design and implementation of an enterprise-scale AI-powered Bordereaux (BDX) Processing Framework for the Insurance MGA and Programs business.
The architect will define and deliver a reusable, scalable framework that leverages Databricks Mosaic AI, Azure AI Services, Agentic AI, and Large Language Models (Azure OpenAI, Anthropic Claude, Google Gemini) to automate ingestion, mapping, standardization, validation, reconciliation, and onboarding of Bordereaux data from multiple MGA partners.
The role will focus on creating a metadata-driven, configurable onboarding framework capable of handling varying BDX formats while reducing manual mapping, improving data quality, and accelerating partner onboarding.
Key Responsibilities
AI & Framework Architecture
Define enterprise architecture for AI-powered Bordereaux onboarding and processing.
Design Reusable Frameworks For
Agentic AI Solution Design
Design Intelligent AI Agents Capable Of
Define multi-agent orchestration patterns for ingestion, mapping, validation, exception handling, and approval processes.
Databricks & Azure Architecture
Lead Architecture For
Architect scalable, cloud-native solutions to support onboarding of multiple MGA partners and lines of business.
Knowledge & Retrieval Architecture
Design Retrieval Frameworks Supporting
Develop semantic knowledge layers to improve mapping accuracy and automation.
Governance & Quality
Define enterprise AI governance standards.
Establish guardrails, security controls, lineage, auditability, and compliance controls.
Define AI evaluation frameworks, model monitoring, and observability standards.
Implement Responsible AI principles and enterprise data governance.
Leadership & Stakeholder Engagement
Partner with Business SMEs, Underwriting Teams, Data Architects, and Platform Engineering teams.
Conduct architecture reviews and design workshops.
Lead POCs, framework accelerators, and reference implementations.
Mentor AI Engineers, Data Engineers, and Solution Architects.
Required Experience
12+ years of Data, Cloud, AI/ML, or Solution Architecture experience.
5+ years designing enterprise-scale Azure and Databricks solutions.
3+ years architecting Generative AI and Agentic AI solutions.
Experience building metadata-driven data platforms and onboarding frameworks.
Experience in Insurance, MGA, Programs, Bordereaux Processing, or Data Modernization initiatives preferred.
Technical Skills
AI & Agentic AI
Azure OpenAI
Anthropic Claude
Google Gemini
LangGraph
LangChain
AutoGen
CrewAI
LlamaIndex
Databricks Mosaic AI
Databricks Ecosystem
Databricks Mosaic AI
Databricks Vector Search
Delta Lake
Unity Catalog
MLflow
Lakeflow Pipelines
Databricks SQL
Azure Platform
Azure OpenAI
Azure AI Search
Azure Data Lake Storage
Azure Functions
Azure DevOps
Azure Kubernetes Service
Data Engineering
Python
PySpark
SQL
Spark
API Integrations
Metadata-driven Framework Design
Data Quality & Data Governance
Preferred Insurance Experience
Bordereaux Processing (BDX)
MGA & Programs Business
Delegated Authority Business
Policy & Claims Data Integration
Underwriting Operations
Data Modernization Programs
The architect will define and deliver a reusable, scalable framework that leverages Databricks Mosaic AI, Azure AI Services, Agentic AI, and Large Language Models (Azure OpenAI, Anthropic Claude, Google Gemini) to automate ingestion, mapping, standardization, validation, reconciliation, and onboarding of Bordereaux data from multiple MGA partners.
The role will focus on creating a metadata-driven, configurable onboarding framework capable of handling varying BDX formats while reducing manual mapping, improving data quality, and accelerating partner onboarding.
Key Responsibilities
AI & Framework Architecture
Define enterprise architecture for AI-powered Bordereaux onboarding and processing.
Design Reusable Frameworks For
- BDX ingestion
- AI-assisted mapping
- Data standardization
- Business-rule validation
- Data quality monitoring
- Reconciliation workflows
Agentic AI Solution Design
Design Intelligent AI Agents Capable Of
- Understanding new Bordereaux layouts
- Mapping source columns to target canonical models
- Identifying missing attributes and exceptions
- Recommending transformation rules
- Generating onboarding insights
Define multi-agent orchestration patterns for ingestion, mapping, validation, exception handling, and approval processes.
Databricks & Azure Architecture
Lead Architecture For
- Databricks Mosaic AI
- Databricks Vector Search
- Delta Lake
- Unity Catalog
- MLflow
- Lakeflow Pipelines
- Azure OpenAI
- Azure Data Lake Storage
Architect scalable, cloud-native solutions to support onboarding of multiple MGA partners and lines of business.
Knowledge & Retrieval Architecture
Design Retrieval Frameworks Supporting
- Data dictionaries
- Mapping repositories
- Business rules
- Historical onboarding knowledge
- Transformation patterns
Develop semantic knowledge layers to improve mapping accuracy and automation.
Governance & Quality
Define enterprise AI governance standards.
Establish guardrails, security controls, lineage, auditability, and compliance controls.
Define AI evaluation frameworks, model monitoring, and observability standards.
Implement Responsible AI principles and enterprise data governance.
Leadership & Stakeholder Engagement
Partner with Business SMEs, Underwriting Teams, Data Architects, and Platform Engineering teams.
Conduct architecture reviews and design workshops.
Lead POCs, framework accelerators, and reference implementations.
Mentor AI Engineers, Data Engineers, and Solution Architects.
Required Experience
12+ years of Data, Cloud, AI/ML, or Solution Architecture experience.
5+ years designing enterprise-scale Azure and Databricks solutions.
3+ years architecting Generative AI and Agentic AI solutions.
Experience building metadata-driven data platforms and onboarding frameworks.
Experience in Insurance, MGA, Programs, Bordereaux Processing, or Data Modernization initiatives preferred.
Technical Skills
AI & Agentic AI
Azure OpenAI
Anthropic Claude
Google Gemini
LangGraph
LangChain
AutoGen
CrewAI
LlamaIndex
Databricks Mosaic AI
Databricks Ecosystem
Databricks Mosaic AI
Databricks Vector Search
Delta Lake
Unity Catalog
MLflow
Lakeflow Pipelines
Databricks SQL
Azure Platform
Azure OpenAI
Azure AI Search
Azure Data Lake Storage
Azure Functions
Azure DevOps
Azure Kubernetes Service
Data Engineering
Python
PySpark
SQL
Spark
API Integrations
Metadata-driven Framework Design
Data Quality & Data Governance
Preferred Insurance Experience
Bordereaux Processing (BDX)
MGA & Programs Business
Delegated Authority Business
Policy & Claims Data Integration
Underwriting Operations
Data Modernization Programs
More about this job
Responsibilities
Lead the architecture and delivery of a reusable, metadata-driven AI framework for ingesting, mapping, standardizing, validating, reconciling, and onboarding insurance Bordereaux data. Design agentic AI, retrieval, governance, and human-approval workflows, while setting architecture standards and guiding stakeholders and engineering teams through reviews, proofs of concept, and implementation.
Requirements
Requires 12 or more years of experience in data, cloud, AI/ML, or solution architecture, including at least five years designing enterprise Azure and Databricks solutions and three years architecting Generative AI and Agentic AI solutions. Experience with metadata-driven data platforms and onboarding frameworks is required; insurance, MGA, Programs, Bordereaux processing, or data modernization experience is preferred.
Skills
- AI Architecture
- Generative AI
- Agentic AI
- Azure OpenAI
- Databricks Mosaic AI
- Databricks Vector Search
- Delta Lake
- Unity Catalog
- MLflow
- Azure AI Services
- Retrieval-Augmented Generation
- Python
- PySpark
- Metadata-Driven Framework Design
- Data Quality
- Data Governance
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Management & Leadership
- Finance & Accounting
Keywords
- Bordereaux Processing
- Insurance
- Managing General Agents
- Programs Business
- Databricks Mosaic AI
- Azure AI Services
- Azure OpenAI
- Anthropic Claude
- Google Gemini
- Agentic AI
- Large Language Models
- LangGraph
- LangChain
- AutoGen
- CrewAI
- LlamaIndex
- Databricks Vector Search
- Delta Lake
- Unity Catalog
- MLflow
- Lakeflow Pipelines
- Azure AI Search
- Azure Data Lake Storage
- Azure Functions
- Azure Kubernetes Service
- Python
- PySpark
- Apache Spark
- Retrieval-Augmented Generation
- Metadata-Driven Frameworks