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Infrastructure​/DevOps Lead - AI Product Team, AI Transformation Office, EY-Parthenon

Job in City Of London, Central London, Greater London, England, UK
Listing for: Ernst & Young Advisory Services Sdn Bhd
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Infrastructure / DevOps Lead - AI Product Team, AI Transformation Office, EY-Parthenon
Location: City Of London

Location:

London

Other locations:
Primary Location Only

Date: 14 Jul 2026

Requisition

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Job Title: UK&I Infrastructure / Dev Ops Lead —
Reports To: UK&I SaT Head of Product

Role Type: Permanent FTE

Grade: Level 3 or 4 – Assistant Director / Manager or Associate Director / Senior Manager

About the team

The EY-Parthenon UKI AI product team is at a pivotal time for the future of consulting. We are within an enterprise: fast-moving, practical, commercially aware and disciplined about what we build.

Our remit is to product ionise the highest value AI opportunities, to translate complex user needs into clear product direction, and work with technical teams to deliver products that are trusted, adopted and scalable.

This is a hands‑on enterprise product role. You will not simply manage a backlog or coordinate delivery. You will understand senior user workflows, shape MVPs, drive key value & complexity trade‑off decisions, and move products into real use.

The role

As Infrastructure / Dev Ops Lead, you will own the UKI SaT technical enablement required to move AI products and prototypes from experimentation to scalable deployment. You will work across enterprise technology, cloud, security, architecture, infosec, product and engineering teams to establish approved environments, deployment routes, data access patterns and reusable build guidance. This role is for someone who is technically credible, pragmatic in complex organisations and motivated by creating repeatable paths for teams to ship safely - not isolated pilots, local tools or one-off workarounds.

What

you will do
  • Create and implement the approved enterprise architecture for AI product development
    :
    Create and implement approved Azure architecture, Dev Ops tooling and deployment patterns for product and agent development, ensuring environments are secure, scalable, observable and aligned to enterprise architecture requirements.
  • Own CI/CD and Infrastructure as Code from prototype to production
    :
    Own CI/CD and Infrastructure as Code practices to automate environment provisioning, security validation and controlled promotion from prototype through to production. Work with Global tech, Fabric and enterprise platform teams to establish secure build environments for product and agent development.
  • Establish safe build patterns for different teams
    :
    Define what can be built where, by whom, using which tools and under which controls, so engineers, data scientists and approved builders can move faster without creating unmanaged risk.
  • Enable reusable data and API access
    :
    Create scalable approaches for public, third‑party and internal data integrations, reducing duplicated work around authentication, access, charging, governance and support.
  • Resolve technical constraints that block delivery
    :
    Work with Product Managers, engineers and Forward Deployed Engineers to diagnose recurring blockers and turn them into clear options, recommendations and implementation routes.
  • Create reusable technical guidance
    :
    Document approved architecture patterns, deployment pathways, environment rules, API integration models and Dev Ops practices so teams can build consistently.
You are
  • Technically credible
    :
    You understand cloud architecture, Dev Ops, data platforms, integration patterns and AI workflow infrastructure well enough to make practical decisions and challenge assumptions.
  • Enterprise‑minded
    :
    You know the goal is not just to make one prototype work. The goal is to create reusable, secure and scalable patterns that allow multiple teams to build safely.
  • Pragmatic and structured:
    You can balance speed with control, break broad technical constraints into root causes, options, trade‑offs, decision points and clear next steps.
  • A strong organisational navigator:
    You can work across Global technology, infrastructure, security, data, architecture, product and business teams, even where ownership is distributed.
What you definitely need
  • Experience creating and implementing…
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