“Build the AI foundations of today while helping define the engineering practices of tomorrow”
The Mission
Turn strategic technology and AI ambitions into operational reality. Design and operationalise a vendor-agnostic AI ecosystem, help define future engineering practices, and establish the architecture, standards, governance and platform capabilities that enable sustainable innovation across Stanley/Stella.
What You Will Build in the First 12 Months
- Enterprise AI Reference Architecture and target AI Technology Stack
- First production-ready Agent Platform
- MCP standards and API-first integration patterns
- AI Governance, Prompt Engineering, Evaluation and Drift Monitoring Frameworks
- Enterprise AI Technology Radar
- AI-Assisted Engineering Framework including vibe coding, application generation, testing,qualificationand production readiness standards
- As software engineering is being transformed by AI, low-code platforms and application-generation tools, you will help define how these capabilities should be safely adopted across the organisation, including the guardrails, standards and best practices required to balance innovation, quality, security and maintainability.
- AI & Engineering Adoption Dashboard measuring usage, maturity, compliance and value delivery
Your Impact
- Build a model-agnostic AI architecture
- Co-design AI-ready data foundations with the Data Lead
- Drive MCP and API-first transformation
- Define standards for agents, copilots,RAGand intelligent automation
- Guide technology choices across AI platforms, cloud services, front-end frameworks, digital experienceplatformsand future engineering capabilities
- Evaluate modern web technologies, composable architectures, React/Next.js ecosystems, AI-generated applications, low-code platforms and industrialized vibe codingapproaches
- Define thedo’sand don’ts for AI-assisted development and application generation
- Establish standards for automated testing, qualification, securityreviewsand production readiness
- Promote, evangelize,measureand continuously improve the frameworks you define
- Contribute to broader architecture, integration, observability,platformand security topics
Adoption, Governance & Measurement
You do not ‘only ‘define standards and frameworks. You ensure they are adopted, measurable and continuously improved. You will animate communities of practice, establish KPIs, monitor adoption, measure compliance, create feedback loops, identify improvement opportunities and report outcomes to technology leadership. Success is not achieved when standards are documented. Success is achieved when they are adopted, measured, challenged and continuously improved across the organisation.
What Matters
You ensure that data capabilities evolve in a way that supports AI adoption and agent-based architectures working closely with Data Lead.
You have a strong appreciation for security, resilience and operational excellence.