About Anthrobyte :

Anthrobyte wins by putting AI agents into the real operations of enterprise clients and making them work, in production, where it matters. We need a leader who does this exceptionally themselves and builds a team that does it the same way. You'll own how we deliver AI, from the client's messy reality to a system they trust and turn every engagement into repeatable capability inside our ATLAS platform. This is a build-from-the-front role. You lead from inside the problem, not from a whiteboard.

What you'll own :

- Embedded delivery : You go where the work is inside the client's environment, alongside their operators to understand their workflows, data, and constraints firsthand. You don't design in the abstract; you build against reality.

- End-to-end ownership : From business problem to architecture to a deployed, secured, monitored agent running in production and driving outcomes. You own the whole arc, not a slice of it.

- The product loop : You turn what you learn in the field into reusable patterns, accelerators, and standards inside ATLAS so the next engagement is faster and we compound into a product, not a services treadmill.

- Building the team : This is the multiplier. You hire, mentor, and level up engineers to work the way you do codifying your instinct into a playbook others can run. Success is a team who deliver like you, not you delivering everything.

- Client trust : You sit across from client security, data, and business leaders and earn their confidence in architecture reviews, security reviews, and the room where decisions get made.

What we're looking for :

- Production track record : You've personally taken AI, ML, or agent systems into enterprise production not demos, not pilots that died. You've worked with real client data and lived with what you shipped.

- Proof you build people: You've mentored engineers, set technical standards, and shaped how a team works. Evidence you can reproduce your skill in others, not just exercise it yourself.

- Range: You're equally comfortable writing code, whiteboarding architecture, and holding your own with a client's CISO.

- Systems mindset: You think in reliability and trust, not cleverness enterprise AI is won on auditability and things that keep working.

- Ownership drive: You're energised by building something from early and shaping how it's done.

Bonus points :

- Domain experience in supply chain, procurement, pricing, or other regulated / operational enterprise environments.

- Exposure to enterprise security, governance, and responsible-AI practices.

- A track record of growing engineers into strong, independent operators.

What this role is not :

- A back-office ML research lead.

- A pure people-manager who's left the tools behind.

- An architect who designs from a distance and never touches the client's reality. If you want to lead from a whiteboard rather than from inside the problem, this isn't it.