Your primary responsibilities will include:

• Hands-On Architecture: Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable.

• Implementation Support: Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment.

• Architectural Strategy: Define and evolve software architecture strategies that align with business goals, product direction, and engineering standards.

• Concept and Design Reviews: Conduct detailed reviews of architectural concepts, providing feedback and suggestions to enhance design quality and system performance.

• Technical Guidance: Lead technical discussions, mentor senior engineers and architects, and provide practical advice on complex technical challenges.

• AI-Aware Architecture and Engineering: Apply strong architectural judgement while recognising where AI, automation, agents, and intelligent workflows can pragmatically improve product capability, developer productivity, operational efficiency, and customer value.

• AI-Enabled Developer Productivity: Use and promote AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools to improve development workflows, code quality, refactoring, testing, and team effectiveness.

• Practical AI Engineering Awareness: Stay current with relevant AI engineering practices, including concepts such as context windows, custom instructions, agentic workflows, tool use, prompt strategies, model selection, and safe enterprise adoption.

• Cross-Functional Collaboration: Work closely with engineering, product, operations, and support teams to ensure architectural alignment and successful delivery across relevant product and platform areas.

• Documentation: Create and maintain comprehensive architectural documentation that is clear, concise, and accessible to all relevant stakeholders.

• 10+ years of software engineering experience, including significant experience designing and evolving complex software architectures across multiple domains.

• Proven ability to deliver hands-on, real-world solutions, actively supporting implementation, troubleshooting, and technical decision-making.

• Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable.

• Strong expertise in at least one modern back-end programming language, such as C#, Java, or C++, with the ability and willingness to learn new technologies as needed.

• Solid experience with data systems, including SQL and NoSQL databases, data modelling, performance considerations, and operational behaviour at scale.

• Practical awareness of how modern AI capabilities can be applied in software engineering and product architecture, while remaining anchored in maintainability, security, scalability, and business value.

• Regular hands-on use of AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools, with an understanding of how to use them effectively in real engineering workflows.

• Strong communication skills, with the ability to explain complex architectural concepts clearly to both technical and non-technical stakeholders.

• Strong understanding of distributed systems, multi-platform development, non-functional requirements, and requirements engineering.

• Ability to document complex technical systems and concepts in a structured, accessible, and standardized manner.

• A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines.