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Added 27 mins ago
Architecte de solutions PLM/PLM Solution Architect
Capgemini Engineering
Montreal, QC
Full-time
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies…
Added 27 mins ago
Architecte de solutions PLM/PLM Solution Architect
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Montreal, QC
Full-time
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Added 56 mins ago
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Added 20 hours ago
Senior Director, Data Center Facilities Development
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$193,600 to $414,400 USD / year
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Added 23 hours ago
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Added 1 day ago
AI Architect
Themesoft Inc.
Toronto, ON
Contract
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…
Added 1 day ago
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Themesoft Inc.

AI Architect

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Position: AI Architect

Location: Toronto, On - Hybrid

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

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

Data, Cloud, AI/ML, or Solution Architecture experience.
Designing enterprise-scale Azure and Databricks solutions.
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.

Regards

Patrick Fernandez

Talent Acquisition Group - Strategic Recruitment Manager

Apply About employer

More about this job

Responsibilities

Lead the architecture and delivery of a reusable, metadata-driven AI framework to ingest, map, standardize, validate, reconcile, and onboard Bordereaux data from insurance MGA partners. Design agentic AI and retrieval solutions, establish cloud and data architecture standards, and oversee governance, quality, stakeholder engagement, and technical team mentorship.

Requirements

Requires experience in data, cloud, AI/ML, or solution architecture, including designing enterprise-scale Azure and Databricks solutions and architecting generative and agentic AI systems. 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
Large Language Models
Data Architecture
Metadata-Driven Frameworks
Data Ingestion
Data Mapping
Data Quality
Retrieval-Augmented Generation
AI Governance
Human-in-the-Loop Workflows
Insurance Data Processing
Stakeholder Leadership

Visa sponsorship

Not detected in the job text

Hiring contact

Patrick Fernandez

Keywords

Databricks Mosaic AI
Azure AI Services
Azure OpenAI
Anthropic Claude
Google Gemini
Databricks Vector Search
Delta Lake
Unity Catalog
MLflow
Lakeflow Pipelines
Azure Data Lake Storage
Agentic AI
Large Language Models
Retrieval-Augmented Generation
Medallion Architecture
Metadata-Driven Processing
Bordereaux Processing
Insurance MGA
Data Ingestion
AI-Assisted Mapping
Data Standardization
Business-Rule Validation
Data Quality Monitoring
Reconciliation Workflows
Human-in-the-Loop Approval
Multi-Agent Orchestration
Semantic Knowledge Layers
AI Governance
Model Monitoring
Data Lineage

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