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AI Architect + Azure Databricks

  • Toronto, ON, Canada

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Job details

Job type
Contract
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Experience
12+ years of Data, Cloud, AI/ML, or Solution Architecture experience.
Posting language
English
Posted

Original job description

Principal AI Architect – Bordereaux (BDX) AI Framework & Agentic Data Platform

Role Summary

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:

BDX ingestion

AI-assisted mapping

Data standardization

Business-rule validation

Data quality monitoring

Reconciliation workflows

Establish architecture standards, design principles, and implementation patterns for future onboarding initiatives.

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

Architect Human-in-the-Loop approval workflows for business users.

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

Define Medallion Architecture and metadata-driven processing frameworks.

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

Implement RAG-based solutions to enable AI-assisted onboarding and decision support.

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 implementation of a reusable, metadata-driven AI framework for ingesting, mapping, standardizing, validating, and reconciling insurance Bordereaux data. Design agentic AI, retrieval, governance, and human-approval workflows, while guiding technical teams and collaborating with business and platform stakeholders.

Requirements

Requires 12+ years of experience in data, cloud, AI/ML, or solution architecture, including 5+ years designing enterprise Azure and Databricks solutions and 3+ 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
  • Azure
  • Databricks
  • Generative AI
  • Agentic AI
  • Azure OpenAI
  • Databricks Mosaic AI
  • Databricks Vector Search
  • Delta Lake
  • Unity Catalog
  • MLflow
  • Lakeflow Pipelines
  • Python
  • PySpark
  • Data Governance
  • Metadata-Driven Framework Design

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Management & Leadership
  • Finance & Accounting

Keywords

  • Bordereaux Processing
  • Insurance
  • MGA
  • Agentic AI
  • Generative AI
  • Azure
  • Databricks Mosaic AI
  • Azure OpenAI
  • Anthropic Claude
  • Google Gemini
  • 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 DevOps
  • Azure Kubernetes Service
  • Python
  • PySpark
  • SQL
  • RAG
  • Medallion Architecture

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