The posting
About us
EggAI is a fast-growing AI consulting and development startup. We build agentic AI solutions for enterprise clients. We are growing in several European markets.
The role
You will lead our clients through the organisational and operational changes needed to establish a shared AI platform. The platform has two parts: an AI Control Plane that governs what agents may do and records the evidence, and a managed AI Runtime where the agents run. Both integrate with the client's identity, security, delivery and audit services, and both need owners, approval routes and support arrangements on the client side.
You will own delivery outcomes from mobilisation through production release and operating handover, acting as the client sponsor's day-to-day counterpart. The role reaches across engineering, business leadership, security, risk, compliance and operations. You will bring these groups together to agree how the platform is governed and supported, and what evidence they need for assurance in a regulated environment.
You will lead an EggAI delivery team with a mix of Platform Engineering roles and skills. Client application teams develop the business use cases; you lead AI platform delivery and the changes needed for teams to adopt and operate it.
Why this role
Most organisations are still working out how to let AI agents act safely in production: who approves what an agent may do, how its actions are evidenced, and who answers when something goes wrong. There is no settled playbook yet, especially in regulated industries. In this role you will help write it. The operating models, approval routes and assurance practices you design with our clients will shape how they run agentic AI for years, and they will become the basis of how EggAI delivers across Europe.
You will work at the point where AI capability meets enterprise reality, with direct access to client sponsors and EggAI leadership, and with real influence over how a growing company builds its delivery practice.
Responsibilities
- Own the delivery plan and milestones, keeping commitments achievable within the agreed scope, budget and team capacity. - Secure the client commitments that delivery depends on. Agree who will provide access, complete service changes and make decisions, then resolve delays with the responsible teams. - Design the target operating model with the client. Define who owns the platform service, maintains policies and software, supports the runtime and approves changes, with agreed escalation routes. - Run milestone acceptance. Submit evidence for each milestone, secure recorded client decisions within agreed review periods and escalate overdue or disputed decisions. - Lead change control with the sponsor and EggAI leadership. Agree scope, capacity, cost and date changes, including proposals for additional services or extended support, before committing the team. - Secure production readiness. Confirm the service owners and funded operating cover from the operating model are in place before go-live, escalating any gap that prevents release. - Lead go-live coordination and the intensive support period after release. Bring client operations and application teams together to resolve incidents and agree when normal support can take over. - Lead platform adoption and training with the technical team, preparing client teams to use shared controls and follow the agreed delivery processes. - Run operating handover through practical exercises. Secure acceptance of ongoing duties and agree any further support needed before the current engagement ends. - Give sponsors a clear account of progress and delivery risks through weekly delivery reviews, regular demonstrations and sponsor reviews. Report spending, forecast work and adoption results so they can make timely decisions.
What You Bring
- You have led technology programmes into production in a regulated environment, including operational readiness and handover to receiving teams. - You have designed and introduced operating models, turning agreed responsibilities into working approval, support and service-management processes. - You have led delivery across engineering teams, client departments and external partners, including influencing senior sponsors and resolving competing priorities. - You have managed budgets and contractual scope in client delivery, including negotiating changes and shaping additional work. - You understand cloud platforms, security and service operations well enough to challenge plans and dependencies with technical specialists. - You communicate clearly and can lead workshops that turn disagreement or uncertainty into decisions and action.
Nice to have
- Delivery in financial services or banking.
- AI platforms or agentic AI.
- Platform engineering, identity, security controls or audit and assurance work.
- Cloud platform delivery using Azure (preferred), AWS or Google Cloud, and AI platform services such as Microsoft Foundry.
- German is a strong advantage, as many of our clients are in the DACH region.
Practical details
- Hybrid working and client-site attendance will depend on the engagement. - You will need to complete the background and security checks required by the client.
We'd love to hear from you!
If your profile looks like a good match we'll be in touch to organise a first stage interview.
Please note, due to the high volume of candidates, we cannot offer personalized feedback to each candidate.
About EggAI
Agentic workforces are inevitable. Making them work is our mission.
EggAI is building the engineering methods, operating models, and reusable technology to deploy agentic workforces with the quality and control required for sustained business impact.
Working closely with enterprise clients, we design, implement and operate agentic systems that evolve from augmenting individual tasks to autonomously executing end-to-end processes alongside people—resilient, controlled, and scalable. We begin with the client problem, select the technical approach that best serves it, and remain accountable through deployment, adoption, and operations. Each deployment strengthens the next by turning production learning into reusable capability.
We are an experienced, international team working across Europe. We set high standards, take ownership of outcomes, and value clear thinking, candid feedback, and the ability to turn ideas into tangible results.
