Lead AI DevOps Engineer

In this role you will steer AI-enabled software platforms with technical depth, guiding teams in API-first design and modernising legacy systems. You’ll shape architecture and integration patterns to deliver secure, operable production systems at scale. Collaborating with architects, product, data science, and platform engineers, you will drive end-to-end delivery and establish strong engineering practices. This role offers tangible impact at the intersection of AI, DevOps, and software platforms.

• 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 security, resilience, performance, and operability standards
• Anticipate and manage architectural and operational risks for AI-enabled systems
• Champion strong engineering practices across software development, DevOps, and platform engineering
• Lead by example in production-critical environments
• Delivery-focused leadership rather than pure experimentation

• Senior or Lead Software Engineer / Lead DevOps Engineer background
• Excellent software engineering fundamentals: design, clean code, testing, maintainability
• Experience designing and delivering API-driven and microservice-based systems
• Proven ability to modernise or integrate legacy systems into modern platforms
• Development experience in TypeScript and Python
• Experience spanning software delivery, CI/CD, infrastructure, and operations
• Ability to influence teams without formal authority
• Balance innovation with pragmatism in production environments

• Strong technical credibility with leadership presence
• Collaborative cross-functional mindset
• Pragmatic decision-making in complex environments
• TypeScript
• Python
• API-driven architectures