Senior AI Platform Engineer: Production AI & Data Pipelines

axiscapital

Greater London

On-site

GBP 110,000 - 140,000

Full time

5 days ago
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Job summary

AXIS Capital in London seeks a Senior AI Platform Engineer to design, build, and operate cloud-native AI workloads on Azure and Databricks, delivering secure and reusable capabilities across underwriting, claims, and operations.

You will own CI/CD for AI/data workloads, implement Terraform-based IaC, mentor engineers, and collaborate with cross-functional teams to advance the platform strategy and production readiness.

Qualifications

  • Strong production-grade Python engineering experience.
  • Experience with PySpark or large-scale data processing.
  • Hands-on experience designing and operating CI/CD pipelines using Azure DevOps.
  • Experience deploying workloads on Azure including identity, access control, networking and secure resource configuration.
  • Practical experience with infrastructure-as-code, preferably Terraform.
  • Experience building scalable AI services.

Responsibilities

  • Design, build, and operate production-grade AI services, data pipelines, and platform capabilities on Azure and Databricks.
  • Develop LLM-powered and agentic workflows for automation and decision support.
  • Expose AI capabilities via secure APIs and backend services (e.g., FastAPI).
  • Own CI/CD delivery pipelines for AI and data workloads.
  • Implement infrastructure-as-code using Terraform and Azure tooling.
  • Build and manage Databricks jobs, workflows, and data pipelines.
  • Implement monitoring, logging, tracing, and alerting with observability tools.
  • Support production AI systems including incident response and runbooks.
  • Contribute to architecture decisions, engineering standards, and platform strategy.
  • Collaborate with engineering, data science, product, security, and infrastructure teams.
  • Mentor engineers and promote strong engineering practices.

Skills

Python engineering
PySpark
CI/CD pipelines
Azure deployments
Infrastructure-as-code
Databricks
LLM workflows
AI platforms

Tools

Terraform
Azure DevOps
Databricks
OpenTelemetry

Job description

AXIS Capital in London seeks a Senior AI Platform Engineer to design, build, and operate cloud-native AI workloads on Azure and Databricks, delivering secure and reusable capabilities across underwriting, claims, and operations.

You will own CI/CD for AI/data workloads, implement Terraform-based IaC, mentor engineers, and collaborate with cross-functional teams to advance the platform strategy and production readiness.

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