AI Engineer

The Role:Working closely with our Head of Technology Delivery and wider Technology team, you will support the design, prototyping and implementation of AI-enabled solutions that deliver measurable business value.

As Ridge develops its AI strategy and roadmap, you will play an important role in helping to deliver innovative solutions across the business. You will gain exposure to the full lifecycle of AI initiatives, supporting projects that include intelligent automation, Copilot-enabled workflows, advanced analytics and emerging machine learning capabilities.

This is a hands-on role, ideal for someone curious about new technologies, including AI agents, and comfortable working at both a conceptual and detailed level.

Key Responsibilities:

Support stakeholders in translating business requirements into AI-driven solutions

Identify opportunities to apply AI technologies, including Copilot, automation and agentic workflows

Assist in the development and testing of AI models, prompts and workflows

Evaluate the feasibility and potential impact of AI use cases

Support the implementation of AI solutions, including low-code/no-code platforms and Copilot Studio

Contribute to building business cases and documenting proposed solutions

Work with data to support analysis, model inputs and validation

Produce technical documentation, user guidance and support adoption activities

Collaborate with internal teams and external partners to deliver successful project outcomes

About You:We are looking for someone with a genuine interest in AI and technology, who enjoys problem-solving and bringing ideas to life.

You will have:

Experience in an AI, data, technology or business analysis role

A demonstrable interest in AI technologies, including LLMs and AI agents

Exposure to tools such as Microsoft Copilot, Copilot Studio, or similar low-code/no-code platforms

Basic to intermediate coding skills (e.g. Python) and an understanding of AI/ML concepts

Experience exploring or implementing AI use cases, automation or data-driven solutions

Familiarity with cloud platforms such as Azure AI, AWS or similar

Strong analytical and problem-solving skills

The ability to communicate technical concepts to non-technical audiences

A collaborative approach, with the ability to work independently where required

A proactive mindset, with a willingness to learn and experiment

An awareness of responsible AI principles and ethical use of technology