Role Purpose

Boku is building a next-generation enterprise automation and AI platform to serve the whole organisation. This platform combines an AI-native agent and chat layer with a dedicated workflow automation capability, delivered as a shared Automation-as-a-Service (AaaS) model across Global IT and the wider business. The Solution Engineer is a hands-on technical role responsible for designing and delivering the platform and the automation and integration solutions built on and around it. The role spans full-stack engineering - from backend integration and agent configuration through to frontend tooling — and requires the ability to translate real business problems into scoped, well-architected automation solutions. This is a senior individual contributor role that demands autonomy, critical thinking, and clear ownership of delivery.

 

Key Responsibilities

• Design and deliver the AaaS platform alongside automation and integration solutions that support business and IT processes, working across both the core platform and solutions built on top of it.
• Translate cross-functional business problems into scoped automation use cases — defining inputs, outputs, required tools, decision points, and appropriate human confirmation gates.
• Contribute to the development and evolution of the AaaS capability, including reusable components, integration patterns, and shared standards.
• Work with stakeholders across IT and the business to identify automation opportunities and gather clear requirements.
• Build, test, deploy, and support automation and integration solutions to a production-ready standard.
• Design, configure, and orchestrate AI agent behaviours — including tool scoping, skill composition, guardrail design, and agent orchestration — in line with platform architecture and governance requirements.
• Create and maintain technical documentation, runbooks, and solution design artefacts.
• Apply AI and intelligent automation where it adds clear, demonstrable value — and advise stakeholders honestly on where it does not.
• Collaborate with Global IT teams to ensure solutions meet security, compliance, and operational requirements.

 

Skills & Experience

Required

• Hands-on experience designing and building automation and integration solutions in real-world enterprise environments.
• Strong working knowledge of TypeScript and Python; comfortable with SQL for querying and schema understanding.
• Frontend development experience with React, including building functional interfaces and understanding of SSO / MSAL authentication flows.
• Practical experience with Azure-native services, including serverless compute, Azure App Service, Azure SQL, and Entra ID / RBAC.
• Strong understanding of REST API design, OAuth 2.0, webhooks, and enterprise SaaS integration patterns.
• Experience integrating with enterprise platforms across service delivery, HR, finance, sales, marketing, and collaboration functions (e.g. ITSM tooling, ERP, Microsoft 365 / Graph).
• Understanding of LLM orchestration, agent framework composition, tool call design, and agent orchestration across enterprise AI platforms — including experience with API-based and cloud-hosted model providers.
• Familiarity with MCP (Model Context Protocol), A2A patterns, and other emerging agent integration standards.
• Experience with RAG pipeline design, prompt engineering, and applying AI in constrained, governed environments.
• Ability to scope automation use cases from ambiguous business requirements — identifying boundaries, risks, and decision points before building.
• Comfortable owning delivery end-to-end as an individual contributor — from design through to production support — with a solid approach to testing, structured logging, and operational observability.
• Awareness of RPA and AI-powered process automation principles, and where they apply versus custom-built solutions.
• Understanding of security requirements in regulated environments, including audit trails, PII handling, access control, and human confirmation gates for side-effecting actions.
• Confident engaging with stakeholders across business domains to surface automation opportunities, define requirements, and set realistic expectations.
• Works well as part of a wider team while maintaining clear personal accountability for their own goals and deliverables.

 

Desirable

• Experience working with shared automation platforms or AaaS models.
• Experience in a global or enterprise IT environment.
• Familiarity with compliance frameworks such as ISO 27001, SOC 2, or DORA.
• Contribution to platform or capability build in a greenfield or evolving environment
• Experience working in a product-led technology organisation.

 

Technologies & Tools

• TypeScript / Node.js, Python, SQL
• React (frontend tooling and internal interfaces)
• Azure: App Service, Azure Functions, Azure SQL, Entra ID / RBAC
• REST APIs, OAuth 2.0, webhooks
• LLM and AI agent platforms (API-based and cloud-hosted model providers)
• MCP (Model Context Protocol), A2A agent integration patterns
• RAG pipelines and prompt engineering tooling
• Enterprise automation and workflow platforms
• Structured logging, observability, and monitoring tooling