Head of Platform and AI Engineering

Location: London (Hybrid) 
In this position, you’ll be based in the London office for a minimum of three days a week, with the flexibility to work from home for some of your working week. Find out more about our flexible work culture at computershare.com/flex.

We give you a world of potential

We’re looking for an experienced technology leader to shape and deliver our global Platform and AI Engineering strategy. In this senior role, you’ll lead the development of secure, resilient and cost-effective platforms that enable engineering teams to deliver services faster through automation, self-service capabilities and responsible AI adoption.

A role you will love

As the Head of Platform and AI Engineering you will define and execute the global Platform and AI Engineering strategy, architecture and multi-year roadmap.

Working with senior leaders across Engineering, Architecture, Security, Data, Risk and Service Operations to balance innovation, cost, resilience and regulatory requirements.
Other key responsibilities:

• Lead engineering across hybrid cloud, CI/CD, Infrastructure as Code, DevSecOps, observability and internal developer platforms.
• Establish and operate enterprise AI platform services, including model access, routing, governance, metering, logging and audit.
• Contribute to governance and adoption of AI coding assistants and agentic automation across the software development lifecycle.
• Develop secure, reusable engineering standards, reference architectures, golden paths and policy-as-code controls.
• Run platform services as products, supported by clear roadmaps, service levels, prioritised backlogs and measurable outcomes.
• Lead globally distributed Platform engineering teams, building capability through coaching, recruitment and reskilling.
• Manage platform and AI budgets, strategic suppliers, cloud and GPU consumption, influence licensing and FinOps activities.

What will you bring to the role?

You will hold extensive leadership experience in platform, cloud, DevOps or AI engineering within a large, regulated and multi-region organisation.

Architect-level knowledge of Azure (preferred) or AWS, Kubernetes, private cloud, CI/CD, Infrastructure as Code, GitOps, observability and SRE.
Other key skills required for the role include:

• Strong knowledge of AI platform engineering, including LLM gateways, model serving, orchestration, guardrails and agent frameworks.
• Experience establishing DevSecOps practices and securing the software supply chain.
• A proven ability to translate complex technical strategy into clear business outcomes, investment cases and executive decisions.
• Strong commercial, financial and vendor-management capability.
• A track record of building high-performing global teams and leading significant technology transformation.
• Excellent communication and influencing skills, including experience working with C-level stakeholders.

This is an opportunity to set the direction for platform engineering and responsible AI adoption across a global organisation, improving engineering productivity, reliability, security and speed to market.

Rewards designed for you
Flexible work to help you find the best balance between work and lifestyle
Health and wellbeing rewards that can be tailored to support you and your family
Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well.
Extra rewards ranging from recognition awards and team get togethers to helping you invest in your future
And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit computershare.com/careershub.