HHiring Reality
← NewRocket

AI Platform Architect – Anthropic - Netherlands/Western Europe

NewRocket
Location
Europe- Remote
Posted
24 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 focus on building and enhancing the technical foundations for secure and scalable enterprise AI solutions, particularly leveraging Anthropic's Claude and other AI technologies. The role involves collaboration with various engineering teams to create reusable platforms, implement CI/CD practices, and ensure robust integration with enterprise data and tools. Responsibilities also include maintaining security and governance controls while supporting AI application deployment and operations.

Things to weigh
  • No salary listed.
  • The role requires a strong hands-on engineering background across multiple technologies and practices, which may be demanding for some candidates.
  • The position involves collaboration with various teams and stakeholders, which may require strong interpersonal skills and adaptability.
  • The focus on secure and responsible AI practices indicates a need for attention to compliance and governance, which could add complexity to the role.
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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