Sr AI Platform & Delivery Lead - Remote

Job Description:

Senior AI Platform & Delivery Lead

Unit: Innovation, Emerging Technologies & Digital Partnerships

Reports to: Head of Innovation, Emerging Technologies & Digital Partnerships

Level: Senior / Specialist (10+ years)

Purpose ofthe role

Own the path that takes AI from a delivered solution to a secured, monitored production

system running in-country — and make that path fast. With delivery partner-led, this role is

the bank's technical owner of vendor delivery and deployment: it holds vendors to the

bank's security, residency and quality standards, integrates their solutions into our

environment, and ensures the bank is never dependent on a vendor's pace or claims.

This is the role that turns a blocked pipeline into a working one. Its single measure of

success is deployment speed — how quickly validated AI reaches production, safely.

Key responsibilities

Deployment & platform

 Own the AI deployment pipeline (Dev → UAT → Production) and the sandbox

environment, ensuring a clear, governed, repeatable path to production.

 Operate and govern the on-prem / sovereign AI platform (Kubernetes,

containerisation, GPU orchestration) — configuring and managing it, including

partner-provided components.

 Establish a reusable "golden path" deployment pattern so each successive use case

ships faster than the last.

Vendor & delivery management

 Act as the technical counterpart to AI vendors and the implementation partner —

review their architectures, challenge unrealistic timelines, and hold them to delivery

commitments.

 Validate that vendor-delivered solutions (container images, models, integrations)

meet the bank's security and residency requirements before deployment.

 Set the technical standards every vendor must deliver to, so solutions arrive in a

form our environment can actually run.Security & integration

 Work directly with Information Security (ISO) to enable and run container image

vulnerability and malware scanning (IVA/MSB) for AI workloads.

 Work with IT Infrastructure to provision, scale and govern compute for AI workloads.

 Own the integration of third-party AI products into the bank's systems and data.

MLOps & governance

 Stand up and run model registry, versioning, monitoring and drift detection — so

models stay accountable after go-live, not just at delivery.

 Ensure all AI in production is observable, auditable and aligned to CBO and risk

expectations.

Must-have experience

 10+ years in platform / DevOps / MLOps or AI engineering, with a track record of

putting solutions into live production

 Hands-on Kubernetes, Docker / containerisation, and container security in

production.

 On-premise / sovereign /in-region deployment experience — not cloud-only.

Data residency is non-negotiable.

 Proven management of software / AI vendors and integration ofthird-party

systems — ideally in a bank, telco or government.

 Able to read a vendor's architecture and identify what will not work — strong enough

technically not to be bluffed.

 Experienced in managing AI Projects, as a project manager

Nice to have

 GPU infrastructure sizing and cost optimisation.

 Feature stores and data pipelines (to also support the data-foundation work).

 GCC / Arabic-region or regulated-financial-services experience.