Employment Type

Closing Date

Job Title

Job Summary

Job Description

What You'll Do

Lead End-to-End Solution Design

• Define solution components, patterns and technology strategies.

• Ensure solutions align with enterprise architecture principles, security requirements and technology roadmaps.

• Guide delivery teams through architecture decisions and implementation.

Drive Autonomous Network and Cloud Capabilities

• Design architectures that enable automation, orchestration and closed-loop operations.

• Support the development of trusted knowledge models that underpin autonomous operations.

• Translate business intent, policies and operational requirements into machine-consumable solutions.

• Enable AI-driven decision-making using contextual and operational knowledge.

Knowledge and Service Modelling

• Define service models, semantic relationships and capability mappings across complex technology ecosystems.

• Support development of knowledge graphs, service awareness and dependency mapping capabilities.

• Ensure consistent modelling across products, services, infrastructure and operational domains.

Stakeholder Leadership

• Partner with Product Owners, Engineering Leads and Enterprise Architects to shape future-state architecture.

• Translate business strategy into technology outcomes

• Influence senior stakeholders on architecture direction, priorities and investment decisions.

• Facilitate architecture reviews, design governance and decision-making forums.

Solution Governance and Continuous Improvement

• Maintain architectural integrity throughout the delivery lifecycle.

• Identify opportunities for reuse, simplification and standardisation.

• Drive adoption of best practices, reference architectures and engineering standards.

• Support technology modernisation and digital transformation initiatives.

What We're Looking For

Essential Experience

• Extensive experience in Solution Architecture, Enterprise Architecture or Technical Design leadership roles.
• Expertise in the Knowledge Plane - designing architectures that transform data and unstructured information into trusted, contextualised and reusable knowledge suitable for machine reasoning.

• • Apply semantic modelling, ontology, taxonomy and knowledge representation techniques to enable machine-consumable knowledge assets.
  • Design approaches for transforming data, information and expertise into formalised knowledge structures.
  • Define patterns for knowledge sharing and interoperability across organisational and technology boundaries.
  • Support the adoption of knowledge graph, semantic and reasoning technologies.

• Proven experience designing large-scale, high-reliability real-time technology solutions across cloud, network or telecommunications environments.

• Deep understanding of systems integration, APIs, service-oriented and event-driven architectures.

• Experience balancing commercial outcomes, delivery timelines, resilience, security and operational requirements.

• Strong stakeholder engagement and influencing skills across technical and executive audiences.