Senior AI Platform Engineer: Build Production-Grade AI

Axis Capital; England; On-site; GBP 90,000 - 140,000; Full time

Job summary

Axis Capital is seeking a Senior AI Platform Engineer in the United Kingdom to design, build, and operate production-grade AI services on Azure and Databricks. You will own end-to-end delivery from design to production, including data pipelines, LLM-powered workflows, and secure API backends.

You will drive automation, observability, and platform standards while mentoring engineers and collaborating across functions to deliver enterprise-scale AI solutions.

Qualifications

• Strong production-level Python engineering experience with maintainable services.
• Experience with PySpark or equivalent large-scale data processing frameworks.
• Hands-on experience designing and operating CI/CD pipelines using Azure DevOps or similar tooling.
• Experience deploying and supporting workloads on Azure, including identity, access control, networking, and secure resource configuration.
• Practical experience with infrastructure-as-code, preferably Terraform.
• Experience building APIs, backend services, and service integrations for data or AI workloads.
• Experience with monitoring, logging, alerting, incident response, and operational support for production systems.
• Strong engineering discipline across testing, code quality, branching, release management, and automated validation.
• Ability to troubleshoot across application, data, infrastructure, deployment, and security boundaries.
• Strong communication skills, with the ability to work with technical and non-technical stakeholders.

Responsibilities

• Design, build, and operate production-grade AI services, data pipelines, and platform capabilities on Azure and Databricks.
• Develop LLM-powered and agentic workflows that support business process automation, document intelligence, orchestration, and decision support.
• Expose AI capabilities through secure, maintainable APIs and Azure Function or Container App backend services.
• Own CI/CD delivery pipelines for AI and data workloads, including build, release, deployment, validation, and environment promotion.
• Implement infrastructure-as-code using Terraform and Azure-native tooling, ensuring environments are repeatable, secure, and supportable.
• Build and manage Databricks jobs, workflows, asset bundles, and data engineering pipelines.
• Implement monitoring, logging, tracing, and alerting using OpenTelemetry or equivalent observability tools.
• Support production AI systems, including incident response, troubleshooting, operational runbooks, release readiness, and service improvement.
• Contribute to architecture decisions, engineering standards, reusable patterns, and platform strategy.
• Collaborate with engineering, data science, product, security, infrastructure, and business teams to deliver end-to-end solutions.
• Mentor engineers, lead technical enablement sessions, and promote strong engineering practices across the team.

Skills

Python

PySpark

CI/CD

Azure DevOps

Azure

Terraform

APIs

Observability

Troubleshooting

Communication

Tools

Azure Databricks

Databricks

Terraform

FastAPI

Job description

Axis Capital is seeking a Senior AI Platform Engineer in the United Kingdom to design, build, and operate production-grade AI services on Azure and Databricks. You will own end-to-end delivery from design to production, including data pipelines, LLM-powered workflows, and secure API backends.

You will drive automation, observability, and platform standards while mentoring engineers and collaborating across functions to deliver enterprise-scale AI solutions.