Lead the design, development, and deployment of advanced AI capabilities across the business.
Create a proprietary Hollis Copilot that learns from property and consultancy data.
Collaborate with stakeholders to deliver scalable and compliant AI solutions.
Design, build, fine‑tune, and optimise LLM‑powered solutions.
Collaborate with the data team to engineer robust data pipelines.
Implement secure embeddings, vector stores, and knowledge graphs.
Architect and deploy AI workloads on Microsoft Azure.
Partner with CTO, COO, and Innovation teams to translate business challenges into AI‑enabled solutions.
Work closely with service heads, surveyors, product owners, and data teams to identify AI use cases.

Expert knowledge of large language models, prompt engineering, fine‑tuning, and RAG systems.
Strong hands‑on experience with Azure OpenAI, Azure Cognitive Search, Azure Machine Learning, and related services.
Experience building Copilot extensions, Copilot Studio solutions, or custom copilots.
Proficiency in Python, C#, or similar languages for AI integration and development.
Experience with vector databases, embeddings pipelines, and similarity search.
Strong understanding of Microsoft 365 architecture, data governance, and secure enterprise AI patterns.
Experience with modern software engineering practices, including APIs, CI/CD pipelines, and containerisation (Docker, Kubernetes).

AI Specialist – Developer

Key skills