AI Architect: Design Production-Grade AI Solutions

Protect Group; Bradford; On-site; GBP 90,000 - 130,000; Full time

Job summary

Protect Group is seeking an AI Architect to lead end-to-end architecture for AI initiatives, collaborating with Data Science and product teams to deliver reliable, secure, and cost-aware solutions.

You will define reference architectures for predictive ML, generative AI, and agentic systems, selecting platforms and patterns for reuse, while upholding quality and governance standards across the tech stack.

Qualifications

• Experience working in an agile environment.
• Strong leadership and organisational abilities.
• Excellent communication skills.
• Strategic thinking and problem-solving aptitude.
• GDPR and international data regulations awareness.

Responsibilities

• Be part of the company’s technology and AI vision and support all aspects of the company’s technological and AI development.
• Contribute to product roadmap development with leadership, sales, finance and risk.
• Advise other departments on technologies to improve efficiency and effectiveness.
• Discover and implement new methodologies yielding competitive advantage.
• Develop technical and AI aspects of the company’s strategy to align with business objectives.
• Ensure application of security and governance best practices across AI solutions.

Skills

Leadership & organisational abilities

Excellent communication skills

Strategic thinking

Problem-solving

GDPR & data regulations awareness

Agile environment experience

Analytical & research capability

Tools

Azure AI

Azure Foundry / Foundry IQ / AI Hub

Python

C# .NET

SQL Server

Web API / REST API

React

DevOps / CI / CD

ServiceBus

Redis

Job description

Protect Group is seeking an AI Architect to lead end-to-end architecture for AI initiatives, collaborating with Data Science and product teams to deliver reliable, secure, and cost-aware solutions.

You will define reference architectures for predictive ML, generative AI, and agentic systems, selecting platforms and patterns for reuse, while upholding quality and governance standards across the tech stack.