The posting
EggAI · Banking transformation programme · Remote — Regular travel to London, UK
About the Programme
EggAI is the transformation partner on a core banking system replacement for a client to lay the foundations of operating Agentic Generative AI in production.
EggAI's role is to specify, set the standard and programme-manage. You will define what operational readiness means and prove it at each gate, working with the client's own teams and its managed service providers, as well as EggAI's platform engineers.
The platform is a mix of classical banking infrastructure and agentic AI workloads, so the reliability problem runs across both deterministic and probabilistic systems.
The Role
Own the technical definition of operational readiness for go-live: what "ready to run in production" means, how the bank proves it at each regulatory gate, and what needs to change for that proof to hold.
This is a lead/principal position reporting to the Programme Plan and Execution Lead. It is remote, with regular London presence required for gate weeks and workshops.
Responsibilities
- Reliability targets — the SLO and error-budget framework, adopted alongside the client's existing structure, and the behavioural quality measures that do the same job for agentic workloads
- Observability and detection — emittances of Tier-1 services, trajectory logging for agentic workloads, an automated path from a firing alert to the affected services and their owners, and closing the logging gaps in what runs today
- The incident and change path — runbook standards and its coverage, incident classification and intervention mechanisms extended to agentic failure modes, and rollback and change-failure rates brought under measurement
- Capacity and performance — the headroom position through the parallel-run peak at cutover, the chaos and game-day programme for payment rails and the core ledger, and capacity modelling extended to inference workloads
- Gate evidence — technical content of the Operational Acceptance Report and Operational Readiness Certificate, the reliability section of each gate pack, and reliability NFRs defended as ADRs through the client's Architecture Design Authority
Expected experience
- 10+ years in production engineering — SRE, platform reliability or infrastructure ownership.
- Has personally introduced SLOs and error budgets into an organisation that did not have them, and can build on the experienced success factors
- Observability in depth — OpenTelemetry, distributed tracing, metrics and log architecture, and the retention and cost trade-offs that come with them
- Incident handling and handling processes, with post-incident reviews that led to real changes in the system
- Regulated financial services, or another environment where an external body audits operational evidence.
- Has worked through a managed service provider and can set standards they do not personally execute
- Comfortable operating in a complex, multi-stakeholder programme where scope and ownership are still being established across parallel workstreams
Valuable, not required
- LLM or agentic system operations: eval harnesses, drift detection, trajectory analysis, prompt and model versioning treated as change types
- Core banking or payments exposure, particularly scheme gateway integration
What This Role Is Not
- Not a platform architect. A separate role owns agentic platform design and build
- Not an on-call engineer. You will not carry a client pager; out-of-hours operations are run by a third party
- Not a service delivery manager. This is engineering judgement applied to readiness, not ITSM process administration
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.
