Agentic AI Architect-Anthropic-Netherlands/EMEA

The role

The Agentic AI Architect will design, develop, and deploy scalable enterprise AI and machine learning solutions. This role involves architecting agentic AI systems, generative AI applications using Claude, and integrating AI with ServiceNow and enterprise data.

What you will do

• Architect, develop, deploy, and maintain scalable AI and machine learning solutions.
• Define end-to-end solution architectures for data ingestion, model selection, and orchestration.
• Design and implement enterprise generative AI applications using Claude and the Anthropic API.
• Architect retrieval-augmented generation (RAG) solutions.
• Architect and implement agentic AI systems that execute multi-step tasks.
• Develop agentic workflows that integrate with ServiceNow and enterprise APIs.
• Develop, train, validate, deploy, and monitor machine learning models.
• Design and implement AI solutions using AWS, Azure, or Google Cloud Platform.
• Develop integrations between AI services, ServiceNow, and enterprise applications.
• Establish evaluation frameworks and monitoring for AI, ML, and agentic solutions.

Required qualifications

• 10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.
• Strong coding expertise in Python and SQL.
• Hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions.
• Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns.
• Hands-on experience with LLM concepts including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation.
• Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
• Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud.
• Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake.
• NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.
• Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.
• Experience with data visualization tools such as Tableau and Power BI.

Nice to have

• Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance.
• Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications.
• Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows.
• Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources.
• Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models.
• Experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable frameworks.
• Experience with vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation.
• Familiarity with AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, and cost optimization.
• Experience with MLOps, LLMOps, CI/CD, Docker, Kubernetes, infrastructure as code, and production cloud deployment practices.
• Advanced degree or relevant AI, cloud, data, ServiceNow, or Anthropic certifications.

About the company

NewRocket is an AI-first Elite ServiceNow Partner. They are a proud Anthropic partner/vendor expanding capabilities in generative AI and agentic workflows.