Head of AI Engineering

Ideagen

19h•Remote

About The Position

Mazlan+ Models is Ideagen’s most significant investment in AI to date, building trusted, domain‑specific AI capabilities for regulated industries. As Head of AI Engineering, you will build Ideagen’s AI engineering function from the ground up and lead it end to end. This is a senior leadership role where you will shape the strategy, architecture, and culture behind a platform that will define the future of Ideagen’s products. You will lead multiple specialist teams, work closely with executive leadership, and be accountable for delivering AI systems that customers can rely on where accuracy and compliance are critical.

Requirements

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

Nice To Haves

Experience with formal AI governance frameworks or domain knowledge in EHS, quality, or compliance is an advantage

Responsibilities

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