AI Solution Architect (AI-Enabled Software Delivery)
Join our Australia team as an AI Solution Architect to build and ship production systems that incorporate AI capabilities.
You will lead the delivery architecture for AI-enabled software systems built within the SDLC. This is a hands-on role working with engineers and client delivery stakeholders to design, build and ship production systems that incorporate AI capabilities.
The focus is pragmatic implementation: integrating AI features into reliable, secure and scalable applications. You will engage with clients during active delivery to ensure solutions meet technical, operational and business requirements.
Responsibilities
- Architect and deliver AI‑enabled software systems across the SDLC, from design through build, deployment and production readiness
- Translate delivery requirements into executable architecture, including application design, integration patterns, data flows and non‑functional requirements
- Work hands‑on with engineering teams to implement AI capabilities (e.g., LLM, RAG or automation patterns where appropriate), ensuring reliability, performance, security and cost efficiency
- Engage client engineering stakeholders during delivery to align on technical trade‑offs, delivery milestones and acceptance criteria
- Establish practical delivery governance, including architecture decisions, evaluation approaches, technical standards and release readiness
Requirements
- Proven experience architecting and delivering production software systems that incorporate AI or LLM‑enabled capabilities
- Strong software architecture background across APIs, distributed systems, integrations, and cloud platforms (AWS, Azure or GCP)
- Hands‑on experience integrating AI capabilities into real applications (e.g., RAG, AI APIs, automation workflows) and understanding operational considerations such as latency, cost and failure modes
- Solid SDLC delivery experience including CI/CD, testing, environments and production operations
- Ability to work closely with engineers and client technology stakeholders to provide clear technical direction and resolve delivery challenges
Nice to have
- Experience addressing security, compliance or data governance considerations in AI‑enabled systems
- Experience building reusable architecture patterns, accelerators or internal platforms for AI feature delivery
- Experience leading enterprise software delivery programs, particularly in sectors such as financial services, healthcare, the public sector, industrial or retail
