Enterprise AI architecture defines this AXIS Capital prospect, 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 architectures Translate business needs into practical technical designs Define reusable patterns, components, standards, and guardrails Guide responsible AI, governance, testing,



and lifecycle controls Evaluate technologies and vendors through structured assessments Requirements:

At least five years of relevant AI or architecture experience Experience designing AI-enabled solutions across Azure and Databricks Understanding of software engineering, APIs, data integration, and security Knowledge of generative AI, machine learning, MLOps, or LLMOps Ability to communicate complex AI concepts clearly Shape secure enterprise AI at AXIS Capital through architecture, governance, Azure, Databricks, and responsible innovation across initiatives.

📌 Enterprise AI Architect AXIS Capital (Winnipeg)
🏢 Aimlroles
📍 Winnipeg