AI Platform Engineer: Automation, Resilience & Scale

M&G; City of Edinburgh; On-site; GBP 65,000 - 95,000; Full time

Job summary

M&G is seeking an AI Platform Engineer in the United Kingdom to design, build and run AI-enabled platform capabilities across a multi-cloud environment. You will work with product owners, architects and security to deliver secure, scalable, reliable platform components and services.

This hands‑on role combines feature delivery with responsibility for resilience, observability, and measurable outcomes, applying AI to improve platform operations and engineers' workflows.

Qualifications

• 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 using infrastructure as code, CI/CD and automated delivery practices.
• Strong software engineering or scripting capability, with experience working in production codebases.
• Experience building AI-powered applications, agents, copilots or intelligent automation.
• Experience with Retrieval-Augmented Generation, prompt engineering, vector search or enterprise knowledge retrieval.
• Experience with major public cloud platforms and associated AI services.
• Experience with data platform technologies and governance concepts, including metadata, lineage, cataloguing and access control.
• Knowledge of containerisation, orchestration and API-first architecture.
• Familiarity with responsible AI, model governance and AI safety controls.
• Experience with MLOps, AI evaluation, monitoring and the operational support of AI solutions.

Responsibilities

• Design, build and deliver new platform capabilities across a multi‑cloud environment.
• Contribute to solution design, technical decisions and implementation.
• Build production‑ready services, APIs, automation and platform components.
• Apply modern engineering practices, including automated testing, CI/CD, infrastructure as code, security by design and observability.
• Take platform capabilities from initial design through to production use and ongoing improvement.
• Apply AI and agentic capabilities to improve platform operations and engineering workflows.
• Build automation and agents that support environment provisioning, onboarding, access management, fault diagnosis and remediation.
• Automate the operational lifecycle of environments, workspaces, resources, agents and permissions.
• Develop self‑service capabilities that reduce manual effort while maintaining appropriate controls.
• Evaluate emerging AI capabilities and recommend practical approaches to adoption.
• Design solutions that remain reliable and predictable when failures occur.
• Test recovery processes and use the results to strengthen platform resilience.
• Define and track service measures that reflect user needs and platform performance.
• Investigate and resolve operational issues, continuously improving platform reliability and user experience.

Skills

CI/CD pipelines

Infrastructure as code

Cloud platforms

Automation

Observability

Security by design

APIs & services

MLOps

Kubernetes

RAG concepts

Vector search

AI service integration

Job description

M&G is seeking an AI Platform Engineer in the United Kingdom to design, build and run AI-enabled platform capabilities across a multi-cloud environment. You will work with product owners, architects and security to deliver secure, scalable, reliable platform components and services.

This hands‑on role combines feature delivery with responsibility for resilience, observability, and measurable outcomes, applying AI to improve platform operations and engineers' workflows.