Senior AI Engineer
Axis Capital Holdings, Ltd.17 hours ago
London, United KingdomSenior
Responsibilities
- Design, build, deploy, and operate production-grade AI services, data pipelines, and platform capabilities on Azure and Databricks.
- Develop LLM-powered and agentic workflows for business process automation, document intelligence, orchestration, and decision support.
- Expose AI capabilities through secure APIs and Azure Function or Container App backend services, including FastAPI-based services.
- Own CI/CD delivery pipelines covering build, release, deployment, validation, and environment promotion.
- Implement infrastructure-as-code with Terraform and Azure-native tooling.
- Build and manage Databricks jobs, workflows, asset bundles, and data engineering pipelines.
- Implement monitoring, logging, tracing, and alerting using OpenTelemetry or equivalent tools.
- Support production AI systems through 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, business, and vendor teams.
- Mentor engineers, lead technical enablement sessions, and promote strong engineering practices.
Requirements
- Strong production-level Python engineering experience building maintainable, tested, and supportable 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 Azure workloads, including identity, access control, networking, and secure resource configuration.
- Practical infrastructure-as-code experience, preferably with 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 and ability to work with technical and non-technical stakeholders.
- Desirable experience with Databricks Jobs, Workflows, Asset Bundles, Apps, and medallion-style data architectures.
- Desirable experience with Azure AI Foundry, Azure OpenAI, LLM-based application development, or agent SDKs and frameworks.
- Desirable experience with MLflow, model lifecycle management, evaluation, tracing, and AI observability.
- Desirable experience with containers, Docker, Kubernetes, AKS, OpenShift, or equivalent container platforms.
- Experience with reusable platform components, shared libraries, templates, engineering standards, or regulated environments is desirable.
Benefits
- The role requires close collaboration with distributed technology, business, data, security, infrastructure, and vendor teams.
- The position is an existing vacancy and combines hands-on engineering delivery with architecture, standards, production support, and operational improvement.
Tech Stack
Categories
About Axis Capital Holdings, Ltd.
AXIS Capital Holdings Limited is a Bermuda-based specialty insurer and reinsurer that underwrites commercial property and casualty lines and reinsurance for businesses and brokers worldwide. Founded in 2001 and headquartered in Pembroke, it is a public company listed on the NYSE (AXS). Its portfolio spans cyber and technology E&O, aviation, marine, political risk and credit, casualty, property, and accident & health, with underwriting platforms in the U.S., London, and Europe.