Robert Half
AI Engineering Manager
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AI Engineering Manager
Home Based
£80,000 - £95,000 (dependent on experience) + Discretionary Bonus & Benefits
A PE-backed education technology business with approximately 1,400 employees is looking for an experienced and dynamic AI Engineering Manager to accelerate AI adoption, automation, and the delivery of end-to-end AI solutions across the organisation.
This is a high-impact opportunity for an AI professional with an innovation-first mindset who is focused on turning emerging technology into tangible business value. The successful candidate will play a key role in transforming how the organisation operates, supporting its staff, students, and partners through practical and scalable AI solutions.
The role sits at the intersection of AI engineering, automation, product development, and business transformation, with responsibility for taking AI initiatives from initial ideation through to deployment, adoption, monitoring, and ongoing optimisation.
The Role
The AI Engineering Manager will lead the delivery lifecycle of AI solutions, working closely with business and technology stakeholders to identify opportunities where AI can create meaningful value.
The role will involve hands-on development and architecture across Azure AI, Azure OpenAI, Microsoft Power Platform, and ChatGPT, alongside the integration of existing AI capabilities such as Microsoft Copilot into enterprise applications.
The successful candidate will also establish the governance, monitoring, and engineering practices required to ensure AI solutions are robust, secure, measurable, and capable of delivering sustained business value.
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Key Responsibilities
AI Engineering & Solution Delivery
- Lead the end-to-end delivery lifecycle for AI solutions, from ideation and testing through to development, deployment, support, and optimisation.
- Develop AI agents, workflows, and automations using Azure AI, Azure OpenAI, Microsoft Power Platform, and ChatGPT.
- Architect and develop LLM-powered applications, multi-agent workflows, and autonomous systems.
- Integrate existing AI platforms and capabilities, including Microsoft Copilot and ChatGPT, with enterprise applications.
- Apply strong software engineering principles to ensure AI solutions are robust, scalable, maintainable, and fit for purpose.
- Develop reusable AI assets and engineering capabilities that can be leveraged across the organisation.
AI Strategy & Business Value
- Work closely with business stakeholders to identify processes and opportunities where AI can create tangible value.
- Ensure every AI initiative has a clear business rationale, with both financial and non-financial benefits identified and measurable.
- Own and manage the AI product backlog and roadmap.
- Use established prioritisation frameworks to identify and focus resources on the AI initiatives with the greatest potential value.
- Identify opportunities for AI to improve productivity, generate revenue, reduce costs, and create competitive advantage.
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AI Governance, Monitoring & Risk
- Develop and maintain an AI monitoring framework covering areas such as:
- Business outcomes
- Model performance
- Human oversight
- Utilisation
- Cost
- Accuracy and hallucination rates
- Ensure AI initiatives operate within agreed organisational governance, security, compliance, and ethical standards.
- Establish appropriate performance monitoring and reporting across the AI portfolio.
- Maintain audit readiness and ensure appropriate governance is embedded throughout the AI delivery lifecycle.
Collaboration & Transformation
- Work closely with the wider technology team to provide specialist AI engineering expertise across the digital transformation programme.
- Collaborate with the organisation's Managed Services Provider to establish effective support structures for deployed AI solutions.
- Work with the AI Adoption function to assess emerging technologies and understand their potential impact on the organisation.
- Stay current with developments across the rapidly evolving AI marketplace and identify relevant opportunities for the business.
- Help increase the organisation's internal AI engineering capability and maturity.
This is an opportunity to join a PE-backed, 1,400-person education technology organisation at an important stage of its AI journey, with the autonomy and influence to shape how AI is engineered, governed, and adopted across the business.
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