AI Platform Engineer — Remote & LLM Ops for Enterprise AI

NewRocket; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

NewRocket is seeking an experienced AI Platform Engineer to build, operate, and improve secure, scalable enterprise AI foundations powering Claude-powered solutions. You will work across cloud infrastructure, CI/CD, data integration, and observability to enable production-grade AI platforms.

You will collaborate with AI Architects, Forward Deployed AI Engineers, and client teams to deliver reusable platform capabilities, reference architectures, and governance patterns for AI deployments in

Qualifications

• 5+ years in platform/cloud/DevOps or related roles.
• Hands-on cloud-native design and deployment experience on AWS/Azure/GCP.
• Strong CI/CD, IaC, automated testing, and production release processes.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Proficiency in REST APIs, security patterns, and identity management.
• Hands-on with LLM-powered apps, RAG, and AI platforms.
• Familiarity with ML or AI workflow automation is a plus.

Responsibilities

• Design, build, deploy scalable platform capabilities for enterprise AI.
• Create reusable architectures and deployment templates for AI Foundry.
• Enable secure data and tool integrations across enterprise systems.
• Develop and maintain CI/CD pipelines for AI applications and models.
• Support secure, governed, and observable production AI services.
• Collaborate with AI Architects, data engineers, and client teams.

Skills

Cloud engineering

DevOps

MLOps

Python

REST APIs

Kubernetes

CI/CD

Security

Data integration

Observability

Education

Bachelor’s degree in CS/Engineering

Cloud certifications (AWS/Azure/GCP)

Tools

Terraform

Docker

GitHub Actions

OpenSearch/Elasticsearch

Job description

NewRocket is seeking an experienced AI Platform Engineer to build, operate, and improve secure, scalable enterprise AI foundations powering Claude-powered solutions. You will work across cloud infrastructure, CI/CD, data integration, and observability to enable production-grade AI platforms.

You will collaborate with AI Architects, Forward Deployed AI Engineers, and client teams to deliver reusable platform capabilities, reference architectures, and governance patterns for AI deployments in