Hybrid AI Tech Lead — Software & Cloud

Cambridge University Press & Assessment; Cambridge; Hybrid; GBP 53,000 - 71,000; Full time

Benefits offered by this job

Annual leave 28 days

Private medical insurance

Discretionary bonus

Group pension

Life insurance

Green travel

Job summary

Cambridge University Press & Assessment in Cambridge, UK, is seeking a hands-on Technical Lead for AI & Software Engineering to lead delivery of AI-enabled assessment solutions. You will mentor a small cross-functional squad while continuing to write code and shape architecture.

The role requires building secure, scalable cloud-native solutions on AWS, with an emphasis on language models, retrieval, auditability and collaboration with assessment experts.

Responsibilities

• Deliver AI-enabled solutions: build end-to-end products using securely hosted language models, with UI integration and stakeholder alignment.
• Ground and validate outputs using retrieval over approved content, ensuring accuracy and traceability.
• Measure quality: build evaluation sets and quality gates with assessment experts to show release fitness.
• Keep experts in control: design review workflows with examiners so final decisions come from humans; record AI suggestions and decisions.
• Protect sensitive content: enforce security, ensuring models, data, prompts and logs stay in approved environments.
• Shape cloud-native architecture: design scalable AWS-based architectures (microservices, serverless, containers) with IaC.
• Drive observability: implement observability for performance, reliability and AI output quality.
• Integrate with our enterprise platforms: design solutions that integrate with event-driven exam processing, content management and item banking systems.
• Build web-app solutions: develop responsive web applications to help examiners work faster and with better UX.
• Lead automation and CI/CD: drive CI/CD and automation, promote agile practices.
• Mentor and collaborate: guide engineers and collaborate with PMs and platform owners to keep components consistent.
• Facilitate stakeholder engagement: translate AI capabilities to non-technical stakeholders and build consensus.

Job description

Cambridge University Press & Assessment in Cambridge, UK, is seeking a hands-on Technical Lead for AI & Software Engineering to lead delivery of AI-enabled assessment solutions. You will mentor a small cross-functional squad while continuing to write code and shape architecture.

The role requires building secure, scalable cloud-native solutions on AWS, with an emphasis on language models, retrieval, auditability and collaboration with assessment experts.