Head of AI Engineering

Ideagen

Head of AI Engineering for Ideagen building a domain-specific AI engineering function. Leading strategy, architecture, and culture for AI systems in regulated industries.

Posted 4/30/2026full-timeRemote • 🇬🇧 United KingdomLeadWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Owning the end‑to‑end strategy, roadmap, and delivery for Ideagen’s AI engineering function across models, data, MLOps, agentic experiences, and domain expertise
Building and leading specialist teams across five AI practice areas and growing the organisation toward 30 to 40 engineers at scale
Setting the technical and architectural direction for the AI platform, including inference systems, orchestration, model adapters, and serving infrastructure
Establishing engineering standards and responsible AI practices that meet ISO 42001 and the expectations of regulated customers
Embedding AI‑native ways of working by setting the standard for modern, agent‑assisted engineering productivity across all teams
Owning senior vendor and cloud relationships and making strategic decisions on model and infrastructure partnerships
Representing Ideagen’s AI capabilities internally and externally, translating technical outcomes into clear business value
Taking accountability for programme budgets, investment decisions, and measurable return on AI engineering spend

Requirements

What you’ll need

You have led a substantial AI or ML engineering organisation and scaled teams across multiple specialist disciplines
You bring deep applied AI and LLM expertise and can make informed architectural trade‑offs with senior engineers
You have delivered production AI systems at scale, including MLOps, inference infrastructure, experimentation, and observability
You actively use modern AI‑assisted development tools yourself and can demonstrate AI‑native productivity in practice
You are comfortable operating at executive level and framing engineering decisions in commercial and strategic terms
You have experience working in regulated or safety‑critical environments where failure carries real consequences
You build strong leadership teams and invest in clear progression, development, and engineering culture
Experience with formal AI governance frameworks or domain knowledge in EHS, quality, or compliance is an advantage.

Benefits

Comp & perks

Benefits at Ideagen

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI engineeringMLOpsinference systemsorchestrationmodel adaptersserving infrastructureAI-native productivityproduction AI systemsexperimentationobservability

Soft Skills

leadershipstrategic decision-makingaccountabilitycommunicationteam buildinginvestment decision-makingtechnical translationprogression developmentengineering cultureexecutive-level operation