AI Architect

Summary: The AI Architect role focuses on developing and maintaining an enterprise-wide AI technology approach for a public sector client in Edinburgh. The position involves defining AI delivery strategies, integrating various AI technologies, and implementing scalable AI solutions using Azure AI Services. The contract is for 12 months and is classified as outside IR35. The role requires collaboration with various architects to ensure seamless integration of AI capabilities within the technology ecosystem.

Key Responsibilities:

• Define the enterprise-wide approach to AI delivery, ensuring alignment with organisational strategy, architecture principles, compliance requirements - driving innovation and informing strategic decisions.
• Evaluate and integrate diverse AI technologies and platforms (cloud, on-premises, hybrid, open-source, and vendor solutions) to meet different business needs.
• Collaborate with enterprise, data, principle and solution architects to ensure AI capabilities are seamlessly Embedded within the broader technology ecosystem.
• Architect, design, and implement scalable AI solutions using Azure AI Services, including:
• Azure AI Document Intelligence
• Azure AI Speech (speech-to-text, text-to-speech, speaker recognition)
• Azure AI Translator
• Azure AI Search
• Lead technical PoCs in areas such as:
• Multilingual speech transcription and translation
• Intelligent document parsing and metadata extraction
• Cognitive search across structured and unstructured documents

Key Skills:

• Demonstrable experience of shaping AI capabilities to ensure they are designed, implemented, and integrated in alignment with business objectives, technology strategy, and architecture principles
• Proven track record designing AI/ML solutions with Azure Cognitive Services
• Strong hands-on experience in:
• Python (data workflows, Azure SDKs)
• C#/.NET (integration with enterprise systems)
• React (frontend POC/demo apps)
• Deep understanding of:
• RESTful API design & consumption
• Azure AI service orchestration & pipelines
• Cognitive Search (keyword, semantic & hybrid modes)
• OCR, key-value pair extraction, and document layout analysis
• Experience building or deploying:
• Speech transcription pipelines
• Document intelligence models
• Multilingual translation solutions
• Familiarity with:
• Azure OpenAI Service
• Azure Content Safety and governance policies
• Azure DevOps CI/CD pipelines
• Knowledge of court or legal systems (highly advantageous but not essential)

Salary (Rate): undetermined

City: Edinburgh

Country: undetermined

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT