AI Engineering Manager (Ai)

TL;DR

AI Engineering Manager (AI): Leading the technical delivery of GenAI validation tooling within the Model Risk Office at hirify.global with an accent on planning development sprints and coordinating development work. Focus on designing and developing reusable platform components, building prototype pipelines, and monitoring emerging technologies to continuously improve the validation tooling environment.

Location: Halifax, Edinburgh, Leeds, Newport, Hybrid Working requires spending at least two days per week, or 40% of our time, at one of our office sites

Salary: £84,051 - £93,390

Company

hirify.global is transforming at pace, investing billions in their people, data, and tech to change the way they meet the needs of their 28 million customers.

What you will do

• Lead the technical delivery of GenAI validation tooling, including planning development sprints.
• Design and develop reusable platform components and frameworks for GenAI validation, testing, and monitoring.
• Build prototype pipelines and evaluation frameworks to support testing and validation of GenAI models across multiple use cases.
• Act as the lead developer for selected projects, delivering end-to-end solutions from architecture design through implementation.
• Review code and guide developers to ensure engineering quality and consistency across the tooling platform.
• Collaborate with validation and risk oversight teams to translate requirements into scalable technical solutions and platform capabilities.

Requirements

• 3+ years of professional experience developing or validating AI/ML or GenAI systems in a production or regulated environment.
• A degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Strong Python programming experience building data or AI applications.
• Experience developing GenAI systems using LLM frameworks (e.g., LangChain, LangGraph, or similar).
• Experience working with LLM APIs and orchestration frameworks.
• Experience working with cloud platforms such as GCP, Azure, or AWS.

Nice to have

• Experience building RAG pipelines or agent-based AI systems.
• Familiarity with cloud AI platforms such as GCP Vertex AI or similar.
• Experience developing backend services or APIs for AI or data applications.
• Experience building user interfaces or dashboards for AI or data applications.
• Experience working in regulated environments or familiarity with regulatory frameworks such as EU AI Act, GDPR, or SS1/23.

Culture & Benefits

• Generous pension contribution of up to 15%.
• An annual performance-related bonus.
• Share schemes including free shares.
• Benefits you can adapt to your lifestyle, such as discounted shopping.
• 30 days’ holiday, with bank holidays on top.
• A range of wellbeing initiatives and generous parental leave policies.