HHiring Reality
← NewRocket

AI Platform Architect – Anthropic - UK

NewRocket
Location
USA - Remote
Posted
12 days ago
Department
Agentic AI
What they actually want (must-haves)
  • 5+ years of experience in platform engineering, cloud engineering, DevOps, software engineering, data engineering, systems integration, or related technical roles
  • Hands-on experience designing and deploying cloud-native applications and services on AWS, Microsoft Azure, and/or Google Cloud Platform
  • Strong experience with CI/CD, Git-based workflows, automated testing, infrastructure as code, and production release processes
  • Experience with containerization and orchestration technologies such as Docker, Kubernetes, serverless services, or comparable cloud-native platforms
  • Proficiency in Python, JavaScript/TypeScript, Java, Go, Bash, or similar programming and scripting languages
  • Experience designing and consuming REST APIs, integrating enterprise applications, and implementing authentication and authorization patterns
Nice to have
  • Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic technical guidance
  • Completion of Anthropic Academy learning, partner enablement, technical training, or equivalent Claude implementation experience
  • Experience with Model Context Protocol (MCP), secure tool integrations, agent gateways, or comparable methods for connecting AI applications to enterprise systems
  • Experience with LLM application frameworks and orchestration tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, or comparable technologies
  • Experience implementing LLM evaluation, prompt/version management, AI tracing, guardrails, and AI observability platforms
What the job really is

The AI Platform Engineer at NewRocket will be responsible for building, operating, and improving the technical foundations for secure and scalable enterprise AI solutions. This role involves cloud engineering, platform engineering, DevOps, and MLOps, working closely with various teams to create reusable platforms and deployment patterns. The engineer will also focus on integrating AI applications with enterprise data, implementing observability and governance, and ensuring security and compliance.

Things to weigh
  • No salary listed
  • Role involves a significant amount of collaboration across various teams and client stakeholders
  • Focus on responsible AI practices and governance may require adherence to strict compliance standards
  • The position is remote but may involve travel based on client and business needs
Job score3.2/5
Benefits1/5
Freshness5/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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