Enterprise AI architecture defines this AXIS Capital chance, requiring Azure, Databricks, security, and responsible technology expertise. The work model is hybrid.
The AI Architect shapes and governs AXIS’s AI landscape across architecture, engineering, data, security, risk, and business teams. You will design enterprise solutions spanning generative AI, machine learning, intelligent automation, and agent-based use cases. The work emphasizes reusable patterns, governance, integration, and measurable business value.

Key Responsibilities

Design secure, scalable, resilient enterprise-grade AI architecturesTranslate business needs into practical technical designsDefine reusable patterns, components, standards, and guardrailsGuide responsible AI, governance, testing,



and lifecycle controlsEvaluate technologies and vendors through structured assessmentsRequirements:
At least five years of relevant AI or architecture experienceExperience designing AI-enabled solutions across Azure and DatabricksUnderstanding of software engineering, APIs, data integration, and securityKnowledge of generative AI, machine learning, MLOps, or LLMOpsAbility to communicate complex AI concepts clearlyShape secure enterprise AI at AXIS Capital through architecture, governance, Azure, Databricks, and responsible innovation across initiatives.
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📌 Enterprise Ai Architect Axis Capital (Winnipeg)
🏢 Aimlroles
📍 Winnipeg