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Galent

AI Architect

  • Toronto, ON, Canada

Contract

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The original listing is kept below for reference.

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Job details

Job type
Contract
Closing date
Experience
5+ years of Azure & Databricks architecture experience
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Role : AI Architect

Location : Toronto, ON (Hybrid)

Role Overview:

We are looking for a senior AI Architect to design an enterprise-scale AI-powered Bordereaux (BDX) processing framework for the Insurance/MGA business.

The role will focus on using Azure, Databricks, Generative AI and Agentic AI to automate BDX data ingestion, mapping, validation, standardization and onboarding.

Must-Have Experience

  • 12+ years in Data / Cloud / AI / Solution Architecture
  • 5+ years of Azure & Databricks architecture experience
  • 3+ years designing Generative AI / Agentic AI solutions
  • Strong experience with Python, PySpark and SQL
  • Enterprise-level AI/Cloud architecture
  • Metadata-driven data platforms/frameworks
  • RAG and AI agent architecture
  • Databricks Mosaic AI and Azure AI services

Key Technologies

  • AI: Azure OpenAI, Anthropic Claude, Google Gemini, LangChain/LangGraph, LlamaIndex, CrewAI/AutoGen
  • Databricks: Mosaic AI, Vector Search, Delta Lake, Unity Catalog, MLflow, Lakeflow, Databricks SQL
  • Azure: Azure OpenAI, AI Search, ADLS, Azure Functions, Azure DevOps, AKS

What You’ll Do

  • Design reusable AI-powered BDX onboarding and processing frameworks
  • Build AI agents for data mapping, validation and exception handling
  • Design RAG and knowledge-retrieval solutions
  • Define data, AI governance, security and compliance standards
  • Lead architecture discussions, POCs and design workshops
  • Work with business, underwriting, data and engineering teams
  • Mentor AI/Data Engineers and Architects
  • Preferred Domain Experience

Insurance experience is highly preferred, especially:

  • Bordereaux (BDX) processing
  • MGA / Programs / Delegated Authority
  • Policy & Claims data
  • Underwriting operations
  • Insurance data modernization

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf

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Responsibilities

Design reusable, enterprise-scale AI-powered frameworks and agents to automate bordereaux data onboarding, ingestion, mapping, validation, standardization, and exception handling. Define AI and data governance, security, and compliance standards; lead architecture discussions, proofs of concept, and workshops; and mentor engineering and architecture teams.

Requirements

Requires 12+ years of experience in data, cloud, AI, or solution architecture, including 5+ years with Azure and Databricks and 3+ years designing Generative AI or Agentic AI solutions. Strong Python, PySpark, and SQL skills, enterprise architecture experience, metadata-driven platforms, RAG, and AI agent architecture are required; insurance experience is highly preferred.

Skills

  • Azure Architecture
  • Databricks Architecture
  • Generative AI
  • Agentic AI
  • Python
  • PySpark
  • SQL
  • Enterprise Architecture
  • Metadata-Driven Data Platforms
  • Retrieval-Augmented Generation
  • AI Agent Architecture
  • Data Governance
  • Data Security
  • Insurance Data
  • Bordereaux Processing
  • Solution Architecture

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Azure
  • Databricks
  • Generative AI
  • Agentic AI
  • Python
  • PySpark
  • SQL
  • Bordereaux Processing
  • Insurance
  • MGA
  • Azure OpenAI
  • Anthropic Claude
  • Google Gemini
  • LangChain
  • LangGraph
  • LlamaIndex
  • CrewAI
  • AutoGen
  • Databricks Mosaic AI
  • Vector Search
  • Delta Lake
  • Unity Catalog
  • MLflow
  • Lakeflow
  • Azure AI Search
  • ADLS
  • Azure Functions
  • Azure DevOps
  • AKS
  • Retrieval-Augmented Generation

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