Lead AI DevOps Engineer

In this role you will lead the integration of AI into production‑grade, API‑first software platforms, guiding engineering efforts with strong architectural judgment. You will influence across AI-enabled software, DevOps, and platform teams to modernise legacy systems into service‑based, scalable architectures. You’ll balance pragmatic delivery with security, reliability and operability, shaping end‑to‑end solutions in collaboration with architects, data scientists and platform engineers. This on‑site, delivery‑focused leadership role offers a clear impact on how AI is embedded into real software systems. You’ll work in a setting that rewards technical depth and decisive guidance to drive how

• Provide technical leadership across AI‑enabled software and DevOps engineering teams
• Set architectural direction for API‑first design, system integration, and platform enablement for AI
• Lead modernisation of legacy or existing applications toward service‑based, API‑driven architectures
• Define and guide integration patterns between applications, platforms, and AI services
• Make pragmatic decisions about when and how emerging AI integration approaches should be adopted
• Collaborate with architects, product teams, data scientists, and platform engineers to deliver end‑to‑end solutions
• Ensure solutions meet standards for security, resilience, performance, and operability
• Anticipate and manage architectural and operational risks in AI‑enabled systems
• Champion strong engineering practices across software development, DevOps, and platform engineering
• Lead by example in production‑reliable environments
• This is delivery‑focused leadership, not experimentation for its own sake.

• Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands‑on leadership role
• Excellent software engineering fundamentals: system design, clean code, testing, and long‑term maintainability
• Deep experience designing and delivering API‑driven and microservice‑based systems
• Proven ability to modernise or integrate legacy systems into modern platforms
• Solid development experience in TypeScript and Python
• Experience spanning software delivery, CI/CD, infrastructure, and operations
• Comfortable setting direction and influencing teams without relying on formal authority
• Ability to balance innovation with pragmatism in production environments

• leadership
• influence without authority
• collaboration
• API‑driven architectural design
• microservices
• TypeScript