Skills this job asks for
AuditLeadershipCompliance
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Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
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
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