The role
You’ll design and build scalable, AI‑ready solutions across data, cloud, and business workflows — creating reusable data pipelines, turning business needs into practical AI solutions, and deploying secure, enterprise‑grade cloud environments.
This role is perfect for a graduate with a background in data, computing, engineering, or related fields who’s curious about AI and excited to work where data, cloud, and real‑world business problems come together.
What will I be doing?
Platform Engineering
* Deploy secure, repeatable AI cloud environments using Infrastructure as Code.
* Support CI/CD pipelines for AI infrastructure and data deployments.
* Help manage core platform services including security, networking, and monitoring.
* Collaborate with AI & Data Engineers and document reusable platform patterns.
Data Engineering
* Build and maintain data pipelines for AI and automation use cases.
* Prepare structured datasets, vector stores, and model‑ready data.
* Implement monitoring and validation to ensure data quality and reliability.
* Create reusable data components aligned to platform and business needs.
Business Technology
* Translate business problems into clear AI and automation requirements.
* Support discovery sessions, workshops, and solution design.
* Configure, test, and validate AI solutions during delivery.
* Support launch, adoption, and continuous improvement through Agile delivery.
What will I bring to the role?
* A curious problem‑solver with strong analytical thinking and an interest in AI, cloud, and data‑driven decision‑making.
* Comfortable learning in ambiguous environments, experimenting with new tools, and building solutions through hands‑on experience.
* A collaborative communicator with some exposure to cloud, scripting, or automation through study, projects, or self‑learning.
* A degree in a relevant field (e.g. Computer Science, Data, Engineering, Cloud, Business Technology, or similar).
* A solid foundation in digital systems, with some exposure to cloud platforms, coding, or data tools through study, projects, or self‑learning.
* An interest in AI, modern delivery practices (Agile/DevOps), and how scalable technology solutions are built in the real world.
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