Senior AI Full-Stack Engineer

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.

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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

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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

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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.

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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.

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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.

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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.

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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.