· Produce clear, implementable solution designs and architecture artefacts
· Translate high-level architectural direction into concrete designs
· Ensure alignment with established principles and standards
· Contribute to architecture backlog and design refinement
· Support architectural consistency across frontend, backend, and platform components
· Support practical adoption of AI/LLMs in engineering workflows and products
· Contribute reusable patterns for LLM integration
· Guide teams on trade-offs (cost, accuracy, security, latency)
· Promote pragmatic use of AI rather than experimental or hype-driven adoption
· Work closely with tribe architects and engineering teams
· Provide day-to-day architectural guidance
· Support planning by identifying risks and dependencies
· Help unblock teams from a design perspective
· Apply and reinforce cloud-native patterns (event-driven, scalable systems)
· Support effective use of AWS and platform services
· Improve consistency across implementations
· Ensure designs are secure, maintainable, and observable
· Support adherence to engineering standards
· Identify and help reduce technical debt