In this role, you operate at the intersection of business, technology and AI. You are responsible for identifying high-impact opportunities and turning them into smart, scalable solutions that improve how the organisation works. You engage with stakeholders to understand bottlenecks, challenge existing use cases and prioritise where AI can create the most value. You do not just advise; you build. From rapid MVPs and prototypes to working implementations, you translate ideas into practical solutions that can be tested, adopted and scaled.

The environment is complex, with multiple systems, data sources and legacy processes. You bring structure, move fast and build solutions that work in practice. This may include automation, workflow tooling, decision-support solutions, data-driven applications or AI-native capabilities.

You work closely with enterprise architecture, data and technology teams to make sure solutions are scalable, secure and aligned with existing standards. At the same time, you bring the creativity and speed needed to apply the latest AI-native technologies in a controlled and impactful way.

Information about the organization

The organisation operates internationally and at significant scale. Within a complex enterprise environment, there are major opportunities to use AI to reduce manual work, improve decision-making and create new operational capabilities. The ambition is not to run isolated pilots, but to build solutions that genuinely move the business forward.

Job description

Identify, prioritise and challenge high-impact AI use cases
Translate business challenges into concrete technical solutions
Build MVPs, prototypes and working implementations
Design and develop AI-driven tooling, automations and workflows
Reduce manual work and improve speed, quality and decision-making
Connect systems, data and processes through practical integrations
Ensure solutions align with architecture, data and security standards
Collaborate with stakeholders to drive adoption and measurable impact
Balance speed, scalability, risk and long-term value

Job requirements

Strong background in software engineering, automation or technical solution development
Proven experience building solutions in complex enterprise environments
AI-native builder with hands-on experience in LLMs, agents, copilots and modern AI tooling
Skilled in Python, APIs, orchestration, integrations and cloud tooling
Able to move from idea to MVP to scalable implementation
Comfortable working in fragmented technology landscapes and legacy environments
Strong ability to connect business needs with technical execution
Pragmatic, curious, communicative and impact-driven
Experience in retail, high-volume operations or complex process environments

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