AI Platform Engineer — Multi-Cloud & AI Automation

eFinancialCareers; Stirling; Hybrid; GBP 70,000 - 120,000; Full time

Job summary

M&G’s AI Platform Engineer role delivers cloud-based platform capabilities across a multi-cloud environment. You will embed AI and automation into platform operations, work with Product Owners and Security teams, and ensure resilient, secure platform services.

You will build self-service patterns, drive observability, and define KPIs to demonstrate business value while enabling safe AI adoption across engineering teams.

Qualifications

• Demonstrable experience building and operating cloud-based platforms and services.
• Strong understanding of cloud fundamentals, including networking, identity and access management, security and operational controls.
• Strong software engineering or scripting capability, with experience working in production codebases.
• Experience using infrastructure as code, CI/CD and automated delivery practices.
• Experience developing and supporting cloud-native applications, APIs, services or platforms.
• Experience using logs, metrics, traces and telemetry to improve platform performance and reliability.
• Experience designing solutions with resilience, scalability, observability and operability in mind.
• Evidence of improving the dependability of production systems through practical engineering changes.
• A track record of delivering technology capabilities into production and supporting their ongoing operation.
• Ability to communicate complex technical concepts clearly to technical and non-technical audiences.
• A collaborative approach to working with engineering, data, security and business stakeholders.
• An interest in AI, automation and agentic systems, combined with sound judgement about where they add value.

Responsibilities

• Platform delivery: Design, build and deliver new platform capabilities across a multi-cloud environment, contribute to solution design and build production-ready services and APIs.
• AI-driven platform operations: Apply AI capabilities to improve platform operations and engineering workflows, build automation and agents for provisioning, access, fault diagnosis and remediation.
• Resilience, reliability and service quality: Design solutions that remain reliable during failures, implement monitoring, telemetry and service measures, and investigate operational issues to improve user experience.
• Measurement and value: Build reporting and analytics to provide visibility on usage, cost, performance and outcomes, and define KPIs and service measures.
• Enablement and adoption: Collaborate with engineering, data and business teams to design and support AI use cases, develop self-service capabilities and promote best practices.
• Governance, security and responsible AI: Ensure platform capabilities align with security, governance, privacy and risk requirements, and support explainability and auditability of AI-enabled capabilities.

Skills

Cloud platforms

Cloud fundamentals

SRE / Observability

CI/CD / automation

APIs & services

Production codebases

Logs / metrics / telemetry

Resilience / reliability

Cross-team collaboration

AI / automation interest

Job description

M&G’s AI Platform Engineer role delivers cloud-based platform capabilities across a multi-cloud environment. You will embed AI and automation into platform operations, work with Product Owners and Security teams, and ensure resilient, secure platform services.

You will build self-service patterns, drive observability, and define KPIs to demonstrate business value while enabling safe AI adoption across engineering teams.