Senior AI Engineer

Overview

Senior AI Platform Engineer at AXIS Capital designs, builds, and operates production-grade AI services and data pipelines on Azure and Databricks. You will own end-to-end AI workloads, emphasize security, reliability, and observability, and contribute to platform strategy. You’ll collaborate with cross-functional teams to enable enterprise AI delivery and drive engineering standards. This role offers hands-on leadership in building scalable AI capabilities that support underwriting, claims, and operations.

Responsibilities

• Design, build, and operate production-grade AI services, data pipelines, and platform capabilities on Azure and Databricks
• Develop LLM-powered workflows and agentic processes for automation and decision support
• Expose AI capabilities via secure APIs and backend services (FastAPI, Azure Functions, or Container Apps)
• Own CI/CD pipelines for AI/data workloads (build, release, deployment, validation, promotion)
• Implement infrastructure-as-code (Terraform, Azure tooling) for repeatable, secure environments
• Build and manage Databricks jobs, workflows, and data pipelines
• Implement monitoring, logging, tracing, and alerting (OpenTelemetry or similar)
• Support production AI systems with incident response, runbooks, and release readiness
• Contribute to architecture decisions, standards, and platform strategy
• Collaborate with engineering, data science, product, security, infrastructure, and business teams
• Mentor engineers and promote strong engineering practices across the team

Key requirements

• Strong production-level Python engineering experience
• Experience with PySpark or similar large-scale data processing
• Hands-on CI/CD design with Azure DevOps or equivalent
• Azure deployment experience including identity, security, networking
• Infrastructure-as-code experience (Terraform)
• API/backend service development for data/AI workloads
• Monitoring, logging, incident response, and operational support for production systems
• Strong testing, code quality, release management, and automated validation
• Troubleshooting across app/data/infrastructure/security boundaries
• Strong communication with technical and non-technical stakeholders
• Strong communication skills
• collaboration across cross-functional teams
• mentoring and technical leadership
• Python
• PySpark
• CI/CD (Azure DevOps)

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