Develop LLM workflows and data pipelines for AXIS Capitalâs enterprise AI platforms using Databricks, PySpark, and Python. The work supports business teams.
This Senior AI Platform Engineer builds reusable capabilities for underwriting, claims, operations, and strategic functions. You will develop agentic workflows, document intelligence, orchestration, decision support, and large-scale data processing. The position also includes APIs, observability, production support, and collaboration with data science and business stakeholders.
Key Responsibilities:
- Build Databricks jobs, workflows, and data pipelines
- Develop LLM-powered document intelligence workflows
- Create reusable platform components and patterns
- Expose AI capabilities through maintainable APIs
- Mentor engineers and lead technical enablement sessions
Requirements:
- Robust maintainable and tested Python engineering experience
- PySpark or large-scale data processing experience
- Experience with Databricks workloads and pipelines
- LLM application or agent framework experience is desirable
- Strong communication with technical and non-technical stakeholders
Use Python, PySpark, Databricks, and LLM engineering to build reusable, supportable AI capabilities for AXIS Capital.
📌 Senior LLM Data Platform Engineer (Canada)
🏢 Important Business
📍 Canada
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