The posting
About the Role
Our client is looking for an experienced Senior AI Full-Stack Engineer to lead the continued development and delivery of its Executive Dashboard ecosystem.
With Phase 1 successfully delivered, you will own the application layer as it evolves through Phase 2 (Deeper Views) and Phase 3 (Scale & Automate) into enterprise production.
This is a senior technical ownership role responsible for the dashboard platform end-to-end—including architecture, development, enterprise integration, AI capabilities, engineering quality, testing, deployment and production rollout.
The platform extends beyond dashboards into a complete executive operating environment comprising portals, workflow applications, reporting modules, drill-down analytics and AI-powered executive insights.
⸻
Key Responsibilities
Architecture & Platform Development
Own the architecture and development of the Executive Dashboard platform, expanding it into a scalable, modular ecosystem.
Key responsibilities include:
* Architect and build enterprise-grade dashboard and portal applications.
* Design scalable workflow modules and reusable front-end architecture.
* Develop shared component libraries, state management and module frameworks enabling rapid feature development.
* Ensure the platform remains performant, maintainable and extensible as additional business modules are introduced.
Deliver Phase 2 Modules
Build and enhance modules including:
* My Portal (notifications, approvals and calendar)
* Executive Dashboard+ (Procurement KPIs)
* Resources Utilisation+ (Leave integration)
* Budget Endorsement
* Agreements & MOUs+
* Wellbeing
* Financial Management Reporting
Deliver Phase 3 Capabilities
Develop advanced platform capabilities including:
* Interactive drill-down reporting across existing modules
* Full My Portal activation with intelligent risk alerts
* Technology Portfolio dashboards covering:
* Research Centres
* Intellectual Property
* Publications
* Technology Readiness Levels (TRL)
* Research-to-Market (R2M)
* Research Centre pages
* Front-end experience for the Future Insights AI reporting platform
⸻
Enterprise Integration & AI
* Integrate the dashboard platform with enterprise systems including SAP, HR, Finance, PMO and planning platforms.
* Build secure API integrations using REST and/or GraphQL.
* Own front-end integration contracts including:
* Authentication & Authorization
* Data contracts
* Error handling
* Loading states
* Resilient handling of slow or partial enterprise data
* Work closely with Data, Integration and AI teams to embed AI capabilities directly into the dashboard experience.
* Deliver AI-powered functionality including:
* Intelligent reporting
* Future Insights
* Retrieval-Augmented Generation (RAG)
* AI-generated summaries
* Natural language exploration of executive data
⸻
Technical Leadership & Engineering Excellence
Provide technical leadership across the dashboard workstream by:
* Defining engineering standards and front-end architecture.
* Establishing performance budgets for large datasets and interactive drill-down experiences.
* Ensuring responsive design and WCAG accessibility compliance.
* Maintaining consistency with the enterprise design system alongside UI/UX designers.
* Leading architecture discussions and code reviews.
* Mentoring junior engineers and supporting technical growth.
* Establishing testing strategy including:
* Unit testing
* Integration testing
* End-to-end testing
* Defining engineering quality standards and Definition of Done.
* Driving continuous improvement through platform adoption metrics, KPI optimisation and data-quality feedback.
⸻
Agile Delivery
* Deliver production-ready software within two-week sprint cycles.
* Maintain a clean, stable and demo-ready build every sprint.
* Produce enterprise-grade technical documentation.
* Support user training and knowledge transfer.
* Lead UAT, production rollout, defect triage and post-release stabilisation through to successful handover.
⸻
Required Experience
* 8+ years of Full-Stack Software Engineering experience.
* Strong expertise in:
* TypeScript
* React (preferred) or Vue.js
* Node.js / NestJS
* Modern component architecture and state management
* Experience building enterprise-scale dashboards, portals or analytics platforms.
* Proven delivery of applications featuring:
* Large datasets
* Interactive drill-down analytics
* Sub-second performance
* Role-based access control
* Strong experience integrating enterprise systems using REST and/or GraphQL APIs.
* Experience working with Microsoft Azure.
* Experience integrating AI capabilities into enterprise applications, including LLMs, Retrieval-Augmented Generation (RAG), AI-assisted reporting or conversational interfaces.
* Demonstrated ownership of front-end architecture, engineering standards and technical quality.
* Experience leading code reviews and mentoring engineers.
* Comfortable owning an engineering workstream end-to-end within stakeholder-heavy, deadline-driven Agile environments.
⸻
Preferred Experience
* SAP integration.
* Microsoft 365, HR or Finance platform integrations.
* Azure AI Services or Azure OpenAI.
* LangChain, Semantic Kernel, MCP, vector databases or modern AI orchestration frameworks.
* Enterprise design systems.
* WCAG accessibility implementation.
* AI-powered dashboards, reporting platforms or executive decision-support systems.
⸻
What Success Looks Like
You will be the technical owner of the Executive Dashboard platform, responsible for delivering a scalable enterprise application that combines executive dashboards, workflow automation, enterprise integrations and AI-powered insights. Working closely with Product, Data, Integration and AI teams, you will take the platform from Phase 2 (Deeper Views) through Phase 3 (Scale & Automate) into production, establishing the technical foundations for a next-generation AI-enabled executive decision platform.
