About the Role
This is a rare opportunity to join a build-phase initiative within a multi-€billion global leader in market insights and analytics. The program is focused on productising advanced machine learning models for real-world, high-impact internal use. You will step into a Principal Engineer / Head of Platform & Engineering position, leading the engineering vision and hands-on delivery for a synthetic data platform that will be deployed to consultants globally. This is a strategic initiative with direct accountability to the C-suite, expected to generate significant revenue.
You will be working at the heart of an executive-backed programme, shaping a product that combines LLM agents, digital twins, synthetic data replicates, and agentic workflow modelling—all built on cutting-edge Python, GCP, and Vertex AI foundations.
What You’ll Be Doing
- Taking full engineering and architectural ownership of a synthetic data platform already in the advanced build phase.
- Driving MLOps and production deployment workflows across GCP, Vertex AI, and model lifecycle management.
- Making critical design decisions—defending your technical strategy and knowing when to push back.
- Collaborating with data scientists, engineers, and external delivery partners to deliver at pace.
- Navigating complex political and organisational environments, influencing senior and executive stakeholders.
- Operating with direct C-suite engagement in a global organisation with a multi-€billion turnover.
What We’re Looking For
- Senior engineering authority with proven delivery of ML/MLOps platforms into production.
- Hands-on expertise in Python, GCP, Vertex AI, and model lifecycle management.
- Ability to operate in a high-visibility, high-stakes environment with resilience and confidence.
- Strong stakeholder influence skills, including C-suite interactions.
- Track record of owning large-scale, strategic engineering programmes from design to deployment.
Why This Role?
- Impact & Scale: This is a multi-million-euro, revenue-generating AI initiative.
- Innovation: Work with synthetic data, LLM agents, digital twins, and next-gen agentic workflows.
- Visibility: Direct exposure to the executive leadership team of a global market leader.
- Growth: Play a pivotal role in modernising a traditional industry through AI.