MEASURES OF SUCCESS

• Design quality and completeness: Artefacts meet standards; fewer gaps at architecture review.
• Delivery impact: Assigned designs implemented successfully; reduced rework and improved time-to-first-value.
• Reuse and alignment: Designs leverage SDKs/modules and platform services; minimal bespoke components.
• Skill progression: Demonstrated growth toward AI Solution Architect readiness; positive feedback from mentors and rotation leads.
• Collaboration effectiveness: Strong partner feedback from architects, engineers, and product teams.

For a full list of role responsibilities, please click apply.

• 5+ years in software engineering or solution design roles, with exposure to system architecture, cloud-native development, and AI/ML integration.
• Strong proficiency in modern programming languages (e.g., Python, Java, or similar) and familiarity with API design and integration patterns.
• Working knowledge of cloud platforms (Azure, AWS, or GCP) and associated services for compute, storage, and security.
• Ability to produce architecture artefacts (diagrams, ADRs, integration specs) and communicate design decisions clearly.
• Demonstrated growth mindset and willingness to develop expertise across AI engineering, system design, and architecture.

For a full list of requirements, please click apply.