AI Platform Engineer Capabilities

Description

The company runs and modernises mission-critical technology systems for large businesses, combining proven engineering expertise with AI-driven insight.

The role sits within a team that builds shared AI platform foundations for a highly regulated banking environment.

Responsibilities

• Turn best practices and lessons from real AI projects into standard platform services, SDKs, templates, developer journeys, architecture blueprints and governance patterns that other domains can reuse.
• Help build the base for AI solutions that are scalable, secure and compliant.
• Define and maintain AI architecture standards and reference architectures that follow enterprise rules for monitoring, networking, security-by-design, privacy and auditability.
• Prototype new AI implementation patterns and convert the useful ones into standard, reusable enterprise platform services.
• Design and build shared AI capabilities, cross-cutting concerns such as observability and access management, SDKs, templates and reference implementations for ML, agentic AI and AI systems.
• Work with architecture, security, risk and data governance teams so platform capabilities meet regulatory and compliance requirements.
• Shape, maintain and deliver the long-term AI developer experience, reducing friction for teams building AI applications.
• Drive adoption of MAAP (Machine Learning and Artificial Intelligence As a Platform) capabilities across domains.
• Design scalable cloud-native solutions and build CI/CD pipelines and platform automation.
• Build integrations between AI services, Azure Kubernetes Service (AKS) and other supporting platforms.

Requirements

• Strong experience in platform engineering, AI/ML operationalisation and designing scalable cloud-native solutions.
• Hands-on experience with Azure services, Azure DevOps Repositories and Pipelines, and CI/CD practices.
• Proficiency with containers and orchestration, specifically Docker and Azure Kubernetes Service (AKS).
• Deep understanding of governance, security-by-design and compliance, ideally within banking or another highly regulated environment.
• Experience building SDKs, AI accelerators and reusable templates that development teams can use.
• Solid background with modern data platforms and cataloguing tools such as Databricks and Unity Catalog.
• Strong communication and collaboration skills to align security, risk and data governance teams on architecture standards.
• Preferred: familiarity with modern development environments and AI-assisted coding tools such as VS Code with Copilot.
• Preferred: experience with security, artifact management and vulnerability scanning tools such as Nexus and Twistlock.
• Preferred: knowledge of emerging AI trends, including Agentic AI and complex ML system architectures.
• Preferred: previous experience defining or implementing Developer Experience (DevEx) strategies that reduce engineering friction.
• You are good at your work and have the experience to show it, you keep growing your own skills, you put customer success first, and you work openly and inclusively with others.

Conditions

Hybrid-friendly working culture.

The company welcomes people of all cultures, backgrounds and experiences, and encourages you to apply even if you do not meet every requirement.

Benefits

• Be Well programmes supporting your financial, mental, physical and social health.
• Personalised development goals, career path tools and continuous feedback.
• Learning opportunities, including certifications with Microsoft, Google and Amazon, coaching and hands-on experience.
• Room to move horizontally into other technical or non-technical areas, or vertically into senior leadership or specialist roles.