What You''ll Be Doing- 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 the evolution of legacy or existing applications towards modern, service-based and API-driven architectures- Define and guide integration patterns between applications, platforms, and AI services- Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design- Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions- Ensure solutions meet appropriate standards for security, resilience, performance, and operability- Anticipate and manage architectural and operational risks associated with AI-enabled systems- Champion strong engineering practices across software development, DevOps, and platform engineering Your ExperienceTo succeed in this role, you will bring:- A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role- Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability- Strong experience designing and delivering API-driven and microservice-based systems- Proven ability to modernise or integrate legacy applications into modern software and platform architectures- Solid development experience