Senior AI Architect | Enterprise AI & Agentic Systems
About the Company
We're partnering with an innovative technology company that's helping organisations make their digital platforms more secure, intelligent and reliable.
With AI becoming an increasingly important part of their technology, they're investing in the next generation of intelligent systems, creating an opportunity to help shape how AI is developed, integrated and scaled across the business.
You'll join a talented engineering team working on meaningful technical challenges, where your ideas and expertise will help influence the future of their AI capabilities.
About the Role
We're looking for a Senior AI Architect to design the foundations behind scalable, secure and production-ready AI systems.
You'll work across the AI stack, from data pipelines and retrieval systems to model integration, agent orchestration and evaluation.
This is a senior, hands-on role where you'll have the opportunity to influence architectural decisions, prototype new solutions and help engineering teams build reliable AI applications.
You'll also play an important role in ensuring AI systems meet the security, governance and compliance requirements of enterprise and regulated environments.
Responsibilities
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Design and develop scalable AI architecture that supports applications across the organisation.
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Build and prototype AI systems, including data pipelines, retrieval architectures, model integration and agent orchestration.
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Develop APIs and integration patterns that enable AI capabilities across products and internal systems.
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Contribute to AI model strategy, including model selection, evaluation and governance.
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Build AI evaluation frameworks to measure system quality, reliability and safety.
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Embed security, compliance and auditability into AI architecture.
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Collaborate with engineering teams to establish architectural standards and technical best practices.
Requirements
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5+ years of experience in Software Engineering, Machine Learning Engineering or AI Architecture.
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Hands-on experience designing and building AI systems end-to-end.
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Strong understanding of modern AI architecture, including data pipelines, retrieval systems, model integration and deployment.
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Experience building software in enterprise or regulated environments.
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Understanding of AI security, governance, compliance and auditability.
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Experience contributing to architectural decisions and technical standards.
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Strong communication skills and the ability to work across technical and business teams.
Preferred Skills
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Experience in financial services, digital identity or fraud detection.
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AI agents, LLM orchestration or agentic AI architecture.
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AI evaluation frameworks and production model monitoring.
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Knowledge of data protection and financial services regulations.
Apply with your CV to learn more about the company, engineering team and opportunity.
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