Senior AI DevOps Engineer

Lorien; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Lorien is seeking a Senior AI-Enabled DevOps Engineer for a hands-on, on-site role in London. You will operate across software development, DevOps, and cloud platforms, shaping technical approaches and raising engineering standards while delivering production-grade AI-integrated systems.

You will build APIs, modernise applications to microservices, and ensure robust production operations with containers, automation, and IaC. Leadership comes through technical excellence, not people management.

Qualifications

• Proven experience as a Senior Software Engineer, Senior DevOps Engineer, or similar hands-on role.
• Excellent software engineering fundamentals: system design, maintainable code, testing, and operability.
• Strong experience building API-first or service-based systems.
• Proficiency in TypeScript and Python.
• Hands-on experience deploying and operating production systems using containers and automation.
• Confidence working across development, deployment, and operational concerns.
• A track record of owning technical outcomes in complex environments.

Responsibilities

• Design, build, deploy, and operate AI-enabled software and platform solutions.
• Develop API-driven services and integrations that allow systems to interact effectively with AI capabilities.
• Modernise existing applications towards service-based, cloud-native architectures.
• Implement and operate integration mechanisms between software systems and AI platforms, including emerging patterns and protocols where appropriate.
• Use AI tools to improve engineering productivity - while maintaining full accountability for quality, safety, and correctness.
• Review, validate, and guide AI-generated code and outputs, ensuring they meet real engineering and operational standards.
• Build services in TypeScript and Python, supported by strong testing and clean code practices.
• Package, deploy, and operate workloads using Kubernetes (e.g. Helm) and Infrastructure as Code (e.g. Terraform).
• Work closely with other engineers, platform teams, and AI specialists to deliver integrated, end-to-end solutions.
• Take responsibility for systems running in production, not just code that passes a build.

Skills

Senior Software Engineer

Senior DevOps Engineer

TypeScript

Python

Kubernetes

Infrastructure as Code

AI integration awareness

Tools

Kubernetes

Helm

Terraform

APIs

Job description

Senior AI-Enabled DevOps Engineer / DV Clearable / 5 days a week on-site

Build and operate modern software systems where AI meets production reality

We're looking for a Senior AI-Enabled DevOps Engineer to join a growing engineering capability working on complex, important software systems that increasingly embed AI to improve delivery, decision-making, and operational effectiveness.

This is a hands-on senior engineering role for someone who enjoys operating across software development, DevOps, and modern cloud platforms. You won't be a people manager, but you will be a trusted senior engineer, shaping technical approaches, raising engineering standards, and helping teams deliver reliable systems in production.

At the core of this role is building well-engineered, production-grade systems that integrate cleanly with AI platforms and services.

You will:

• Design, build, deploy, and operate AI-enabled software and platform solutions
• Develop API-driven services and integrations that allow systems to interact effectively with AI capabilities
• Modernise existing applications towards service-based, cloud-native architectures
• Implement and operate integration mechanisms between software systems and AI platforms, including emerging patterns and protocols where appropriate
• Use AI tools to improve engineering productivity - while maintaining full accountability for quality, safety, and correctness
• Review, validate, and guide AI-generated code and outputs, ensuring they meet real engineering and operational standards
• Build services in TypeScript and Python, supported by strong testing and clean code practices
• Package, deploy, and operate workloads using Kubernetes (e.g. Helm) and Infrastructure as Code (e.g. Terraform)
• Work closely with other engineers, platform teams, and AI specialists to deliver integrated, end-to-end solutions
• Take responsibility for systems running in production, not just code that passes a build

What we're looking for

This role suits an experienced senior engineer who brings breadth, pragmatism, and strong engineering judgement.

Essential experience:

• Proven experience as a Senior Software Engineer, Senior DevOps Engineer, or similar hands-on role
• Excellent software engineering fundamentals: system design, maintainable code, testing, and operability
• Strong experience building API-first or service-based systems
• Proficiency in TypeScript and Python
• Hands-on experience deploying and operating production systems using containers and automation
• Confidence working across development, deployment, and operational concerns
• A track record of owning technical outcomes in complex environments

Desirable experience:

• Integrating software systems with AI platforms or AI-assisted workflows
• Exposure to emerging AI integration approaches or protocols (e.g. MCP)
• Platform engineering or DevOps at scale

This is an opportunity to sit at the intersection of modern software engineering, DevOps, and applied AI, working on real production systems rather than experiments or demos.