Location
36 Golden Square, London with a hybrid working pattern

Hours
Full Time - standard working hours with flexibility

Salary
Negotiable

About the Role
We’re looking for an AI Platform Engineer to design, build and operate the technical foundations underpinning M+C Saatchi Group’s AI capability (MICA) as it scales globally. This role sits at the core of our AI ecosystem, responsible for the platforms, integrations, automation and engineering standards that enable AI to operate securely, reliably and at scale. Reporting to the Global Head of Enterprise Infrastructure & Architecture and working closely with the AI Operations and Adoption Manager, you will translate operational requirements into robust, production-ready solutions.

As a key member of the IT function, you will collaborate with Information Security, Data teams and business stakeholders to ensure AI services meet enterprise standards and integrate seamlessly into the Group’s broader technology landscape. Based in London, this role operates across a global network of teams.

As MICA scales across the Group, this hands-on engineering role focuses on platform delivery, integration, agentic automation and optimisation. It is distinct from AI strategy and adoption, concentrating on how AI capabilities are technically delivered, governed and scaled in a fast-paced production environment.

Working closely with the AI Operations and Adoption Manager, you will form the core delivery engine for AI across the Group, ensuring operational requirements are translated into scalable, reliable platform capabilities.

Success in this role will be demonstrated by:
- A secure, scalable AI platform architecture integrated into enterprise systems
- Seamless onboarding and lifecycle management of approved AI tools
- Reliable, well-monitored AI services with clear performance and cost controls
- Automated operational processes enabling scale and consistency
- A well-governed technical environment aligned to AI policies and frameworks
- Strong alignment between platform engineering and AI operations delivery

Experience
- Proven experience as a Platform, Cloud or DevOps Engineer in a complex environment
- Strong experience with cloud platforms (Azure, AWS or GCP)
- Experience designing and managing APIs, integrations or event-driven architectures
- Familiarity with AI/ML platforms, GenAI tools or emerging AI ecosystems
- Experience with infrastructure as code and automation tooling
- Understanding of security, compliance and governance in enterprise systems
- Experience implementing monitoring, logging and observability
- Ability to translate business or operational requirements into technical solutions
- Ability to assess capability of AI tools from a technical perspective and translate that into business fit and usage opportunities

About you
You are a hands-on, solutions-oriented platform engineer who thrives in building scalable, production-grade systems. You are comfortable translating complex operational needs into practical engineering solutions and enjoy working across technical and business teams to deliver real-world outcomes.

Qualifications
Additional desirable experience includes:
- Experience supporting AI-enabled platforms or products
- Familiarity with agent-based workflows, orchestration tools or automation frameworks
- Exposure to data platforms, pipelines or analytics ecosystems
- Experience working in environments with strong governance or regulatory requirements