The Project
This is a delivery-focused AI engineering role where you’ll be brought in to understand existing operational processes, identify the 1-3 highest-value AI opportunities, and then design, build and deploy working solutions.
The project is focused on internal operational AI, with opportunities around automation, data analysis, anomaly detection, workflow optimisation and improving internal communications.
You’ll be expected to operate with a high degree of autonomy — speaking with stakeholders, understanding problems, assessing technical feasibility and turning those opportunities into production-ready AI solutions.
Key Skills & Experience:
- Strong AI/ML engineering background
- Proven experience building and shipping production AI solutions
- Strong Python engineering experience
- Experience working with LLMs / Generative AI / AI automation
- Experience integrating AI with existing tools, systems and data
- Strong understanding of data quality, process integrity and production engineering
- Ability to independently conduct technical discovery and identify high-value use cases
- Experience working across data, APIs and software engineering environments
- Strong stakeholder management and communication skills
- Comfortable presenting technical solutions to senior leadership
- Ability to document solutions and transfer knowledge to internal engineering teams
Technology Environment
The wider environment includes Python, TypeScript, Go, AWS, Kubernetes, BigQuery, Databricks, Looker, GitHub, Atlassian and AI tooling including Gemini, Claude and n8n/MCP.
You don't need to have every technology listed, but you must be a strong hands-on AI engineer who can get into an unfamiliar environment, identify opportunities and build.
This is not a strategy-only, advisory or fractional CTO position — the majority of the engagement will be focused on hands-on delivery.