Build secure AI platforms at AXIS Capital using Python, Azure, Databricks, and cloud-native engineering practices. This senior role supports distributed teams.
The Senior AI Platform Engineer designs, deploys, and operates production AI services across AXIS. You will work with LLM-powered services, agentic workflows, APIs, data pipelines, and reusable platform components. The role spans platform engineering, DevOps, data engineering, and applied AI.
Key Responsibilities:

Design and operate AI services on Azure and Databricks
Develop LLM-powered and agentic business workflows
Build secure APIs and backend services
Own CI/CD pipelines and environment promotion
Implement monitoring, logging, tracing, and alerting
Requirements:

Production-level Python engineering experience
Experience with PySpark or equivalent frameworks
Azure deployment and secure resource configuration experience
Infrastructure-as-code experience, preferably Terraform
Production monitoring, incident response, and operational support experience
Apply your Python, Azure, Databricks, and AI platform expertise to reliable enterprise delivery at AXIS Capital.

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