Engineering Manager, Agentic AI Platform

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.

We are looking for an Engineering Manager to lead the team building Quantium’s internal platform for developing and delivering production-grade AI agents.

The platform gives our technical builders the shared components, templates, infrastructure and guardrails they need to turn validated ideas into working AI solutions faster. Rather than rebuilding the same foundations for every engagement, engineers can focus on the agent itself while the platform supports areas such as identity, storage, integrations, testing and deployment.

The platform is moving from early development into its next phase of hardening and adoption. The immediate challenge is to strengthen its foundations, improve the end-to-end developer experience and enable more engineering teams to build with it successfully. Over time, the solutions created through the platform will be deployed into increasingly complex enterprise and client environments.

This is a deeply technical people leadership role based in Sydney. You’ll lead a team of approximately 10 engineers while remaining close to the architecture, product direction and engineering decisions that shape the platform. You won’t be expected to act as the team’s principal implementer, but you’ll need the technical depth to challenge decisions, guide trade-offs and earn the confidence of highly capable engineers.

Lead a high-performing engineering team. Provide clarity, coaching and direction to engineers working across the agent build pipeline, shared foundations, testing and developer experience.

Take an emerging platform into its next phase. Help move it from early development into a hardened, scalable capability that multiple engineering teams can rely on.

Shape how production AI agents are built. Partner with engineering and product leaders to improve how agents are designed, engineered, validated, deployed and continuously improved.