E

EggAI

Open-source enterprise AI framework and services

IT Operations Lead - Banking

Site Reliability EngineeringUpdated on Nov 13
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • At least 10 years of experience leading IT operations teams, having operated L1, L2, and L3 support in SRE, platform reliability, or infrastructure organizations, with people and providers reporting to the candidate.
  • Experience aligning operations with development, engineering, and business stakeholders by setting operating goals and maintaining focus on them through delivery.
  • Experience introducing service-level objectives (SLOs) and error budgets into an organization.
  • Deep infrastructure knowledge, including telemetry, redundancies, backups, and requirements for smooth business operations.
  • Incident management experience, including post-incident reviews that led to changes in the system and organization.
  • Experience in regulated financial services or another environment where an external body audits operational evidence.
  • Experience working through a managed service provider and setting standards the provider executes.
  • Comfort operating in a complex, multi-stakeholder programme where scope and ownership are still being established across parallel workstreams.

Responsibilities

  • Define operational readiness for go-live, including production-readiness criteria, how the bank proves readiness at each regulatory gate, and organizational changes needed to sustain that proof.
  • Shape an operating model for agentic AI workloads by redistributing responsibilities between client teams and managed service providers, establishing standards, and leading people through the change.
  • Set the service-level objective and error-budget framework alongside the client's existing structure, secure service-owner adoption, and commission behavioral quality measures for agentic workloads.
  • Define observability and detection requirements for Tier-1 services and agentic workloads, including trajectory logging; require automated mapping from firing alerts to affected services and owners; and drive closure of existing logging gaps.
  • Establish runbook standards and coverage, extend incident classification and intervention mechanisms to agentic failure modes, and ensure rollback and change-failure rates are measured and reported by their owners.
  • Direct capacity headroom planning through the parallel-run peak at cutover, sponsor chaos and game-day exercises for payment rails and the core ledger, and require capacity modeling to cover inference workloads.
  • Own the technical content of the Operational Acceptance Report and Operational Readiness Certificate, the reliability section of each gate pack, and reliability non-functional requirements defended as architecture decision records through the client's Architecture Design Authority; teams write the materials, which the candidate reviews and signs off.
  • Decide how responsibilities for the new platform are divided between the client's teams and managed service providers, and lead the people concerned through that change.

Desired Qualifications

  • Experience with LLM or agentic system operations, including evaluation harnesses, drift detection, trajectory analysis, and treating prompt and model versioning as change types.
  • Core banking or payments exposure, particularly scheme gateway integration.

About the Company

EggAI

Open-source enterprise AI framework and services

EggAI Technologies provides expert services and an open-source AI meta-framework to help large enterprises build and deploy scalable, secure, and production-ready AI solutions. It operates with a Plan, Build, Operate & Transfer approach, guiding clients through the full lifecycle of AI projects and ensuring alignment with existing tech strategy, security, and legacy systems. The core product is an open-source framework that offers structured guidance for creating enterprise-grade AI platforms while remaining flexible enough to integrate preferred tools and libraries, avoiding vendor lock-in. What sets EggAI apart is its combination of services and governance-focused, composable AI framework tailored for enterprise-scale deployments, not just a software tool. The company’s goal is to help large organizations move beyond prototyping to deploy reliable, compliant AI systems that deliver tangible business value across generative and traditional AI models.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Munich, Germany
Founded
2024

Recently Posted Jobs

Explore more opportunities at EggAI

See more jobs