Lead Microservices & AI Technical Architect

We are seeking an experienced Lead Microservices & AI Technical Architect to provide strategic technical leadership within a major business application transformation program. This role will lead the establishment of the departments enterprise microservices and event-driven architecture capabilities while driving the adoption of AI-enabled engineering practices across the software development lifecycle.

The successful candidate will play a pivotal role in shaping architectural direction influencing engineering decisions mentoring technical teams and ensuring modern secure scalable and resilient technology platforms are delivered in alignment with enterprise objectives.

• Provide architectural leadership for the design implementation governance and evolution of cloud-native microservices-based and AI-enabled platforms.
  
• Ensure solutions align with enterprise architecture standards cybersecurity requirements business objectives and digital transformation strategies.
  
• Define and govern architectural patterns standards reference models and reusable frameworks.
  

• Lead the adoption of AI-enabled software engineering practices across the SDLC.
  
• Drive the implementation of enterprise AI capabilities including machine learning semantic search intelligent automation and responsible AI practices.
  
• Establish governance frameworks supporting secure ethical and effective AI deployment.
  

• Lead modernization initiatives focused on cloud-native architectures microservices containerisation and event-driven integration.
  
• Establish and enhance DevSecOps CI/CD automated testing observability monitoring and platform engineering capabilities.
  
• Promote reusable engineering patterns that improve scalability maintainability reliability and operational resilience.
  

• Provide strategic technical direction for enterprise transformation initiatives.
  
• Influence architecture decisions and technology roadmaps across multiple programs and stakeholders.
  
• Drive improvements in engineering maturity service reliability performance and operational efficiency.
  

• Build strong relationships with executives business leaders delivery teams and technology partners.
  
• Lead multidisciplinary technical teams and foster a culture of collaboration innovation and continuous improvement.
  
• Provide mentoring coaching governance and capability uplift to strengthen organisational technical maturity and knowledge transfer.
  

• Extensive experience designing and governing cloud-native microservices and event-driven architectures in large enterprise environments.
  
• Demonstrated expertise delivering AI-enabled solutions enterprise AI capabilities machine learning semantic search and responsible AI frameworks.
  
• Strong background in software engineering platform engineering DevSecOps CI/CD automated testing observability and security-by-design.
  
• Proven success leading large-scale technology modernisation and digital transformation programs.
  
• Outstanding stakeholder management communication and leadership skills with experience influencing executives and leading multidisciplinary teams.
  

• Hands-on experience with container platforms including Kubernetes OpenShift AKS EKS or GKE.
  
• Experience in cloud transformation Site Reliability Engineering (SRE) platform engineering observability tooling and enterprise automation.
  
• Experience leading Agile delivery teams across geographically dispersed environments.
  
• Strong capability in coaching teams and driving engineering excellence and continuous improvement.