At a Glance
- Tasks: Lead the development of AI products and streamline deployment processes.
- Company: Join EY, a global leader in consulting and technology innovation.
- Benefits: Enjoy competitive pay, flexible work options, and career growth opportunities.
- Other info: Be part of a team that values innovation and impactful solutions.
- Why this job: Shape the future of AI in a dynamic, collaborative environment.
- Qualifications: Experience in Azure architecture, DevOps, and cloud infrastructure is essential.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Date: 14 Jul 2026
Requisition ID: 1725313
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.
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 productionise 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 / DevOps 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.
- Own CI/CD and Infrastructure as Code from prototype 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.
- Enable reusable data and API access.
- Resolve technical constraints that block delivery.
- Create reusable technical guidance.
You are
- Technically credible: You understand cloud architecture, DevOps, 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.
- Pragmatic and structured: You can balance speed with control.
- A strong organisational navigator: You can work across Global technology, infrastructure, security, data, architecture, product and business teams.
What you definitely need
- Experience creating and implementing approved Azure architecture, DevOps tooling and deployment patterns for product, data or AI development.
- Experience owning CI/CD and Infrastructure as Code practices.
- Experience in cloud infrastructure, enterprise architecture, DevOps, platform engineering or technical delivery in a complex organisation.
- Strong understanding of cloud platforms, ideally Azure.
- Experience working with data platforms, APIs, authentication models, integration patterns and managed service models.
- Ability to define architecture patterns that balance speed, security, scalability, observability and maintainability.
- Experience working with security, infrastructure, governance or architecture teams.
- Strong stakeholder management and communication skills.
- A bias to action and comfort making progress where the target architecture or ownership model is still being shaped.
What you might also have
- Experience with EY Fabric, Databricks, Azure DevOps, GitHub, Kubernetes, containerisation or equivalent enterprise DevOps platforms.
- Experience supporting AI, machine learning, data science, analytics or automation teams.
- Experience with LLM application architecture, RAG, vector stores, orchestration frameworks, model APIs or context management.
- Experience integrating third‑party or public data APIs into enterprise environments.
- Experience defining platform operating models, developer experience, golden paths or paved‑road architecture patterns.
- Experience in professional services, strategy, transactions, financial services or another complex regulated environment.
What success looks like
- Established clear build, deployment and environment routes for product and agent development.
- Created practical DevOps, CI/CD, access and API integration patterns that teams can reuse.
- Worked with enterprise platform, security and architecture teams to unblock priority constraints.
- Helped UKI SaT teams move from prototype to tested, scalable product with greater speed, safety and consistency.
Over time, success means UKI SaT has a trusted, repeatable technical foundation for AI product and automation development.
Infrastructure / DevOps Lead - AI Product Team, AI Transformation Office, EY-Parthenon employer: Ernst & Young Advisory Services Sdn Bhd
Ernst & Young Advisory Services Sdn Bhd is an exceptional employer, offering a dynamic and inclusive work culture in Manchester that fosters innovation and collaboration. With a strong commitment to employee development, EY provides ample opportunities for growth and advancement, alongside a flexible work environment that supports work-life balance. Joining EY means being part of a global leader in advisory services, where your contributions directly impact client success and the future of R&D tax services.
Contact Details:
Ernst & Young Advisory Services Sdn Bhd Recruitment Team
