Technology Architect ( AI Platform)

Your purpose at Stanley/Stella
Stanley/Stella is accelerating its digital transformation to strengthen customer experience and scale its business platforms across an international ecosystem of decorators, resellers, and partners.
The Technology architect acts as the company’s
senior technical authority
, reporting directly to the CIO.
This role defines, governs, and continuously evolves the
technology foundations of the enterprise
ensuring coherence, scalability, resilience, and security across all platforms, integrations, and data capabilities.
This is a
cross-cutting technical mandate
not a functional management role  with accountability for integrating, securing, and anticipating technologies across the organization.
The role prevents fragmentation, avoids short-term decisions with long-term consequences, and translates emerging technologies into
robust, production-ready foundations
.
A key and immediate priority is to
lead the integration of AI technologies
including RAG pipelines, agentic workflows, orchestration tools, low-code platforms, and API-based integrations  across the company’s core stack:
Infor M3, HubSpot, Magento, Azure, and Power BI
.
Your role and impact
“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,
qualification
and 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,
RAG
and intelligent automation
Guide technology choices across AI platforms, cloud services, front-end frameworks, digital experience
platforms
and future engineering capabilities
Evaluate modern web technologies, composable architectures, React/Next.js ecosystems, AI-generated applications, low-code platforms and
industrialized
vibe coding
approaches
Define the
do’s
and don’ts for AI-assisted development and application generation
Establish standards for automated testing, qualification, security
reviews
and production readiness
Promote,
evangelize
,
measure
and continuously improve the frameworks you define
Contribute to broader architecture, integration, observability,
platform
and 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.
About you
You
likely started
your career as a software engineer,
developer
or technical lead bef
ore evolv
ing into architecture and technology leadership roles.
You understand what it takes to build, integrate,
deploy
and
operate
real-world systems because you have done it yourself.
You combine hands-on technical credibility with the ability to step back, structure complex
problems
and design sustainable enterprise foundations.
You are equally comfortable discussing APIs, integration patterns, cloud platforms, modern web technologies, front-end architectures, data architectures, AI
frameworks
and business priorities.
You have enough software engineering experience
to credibly
challenge
architecture decisions across front-end, back-end, integration,
cloud
and AI domains.
Most importantly, you are pragmatic
:
y
ou
distinguish sustainable enterprise capabilities from short-lived technology trends and make recommendations based on business value, scalability,
maintainability
and long-term impact rather than hype.
Potential:
You will not be measured by the number of chatbots you build, but by your ability to establish the architecture, platforms, standards and operating models that allow Stanley/Stella to scale AI and modern engineering practices consistently across the enterprise.