Agentic AI Architect - Anthropic - Netherlands/EMEA

Stack

Responsibilities

• ▹Architect, develop, deploy and maintain scalable AI and machine learning solutions for enterprise use cases
• ▹Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, monitoring and governance
• ▹Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into technical designs and delivery roadmaps
• ▹Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation and intelligent automation
• ▹Establish technical standards, reference architectures, reusable patterns and best practices
• ▹Lead technical discovery, architecture workshops, design reviews, proofs of concept and client demonstrations
• ▹Design and implement enterprise generative AI applications using Claude, the Anthropic API and other LLM platforms
• ▹Apply prompt and context-engineering practices: instruction design, few-shot examples, role definition, structured inputs and outputs, long-context management
• ▹Architect RAG solutions that securely ground model outputs in approved enterprise documents, knowledge bases and data sources
• ▹Architect and implement agentic AI systems that reason over enterprise context, use authorized tools and execute multi-step tasks
• ▹Implement human-in-the-loop controls for sensitive, high-impact, low-confidence or exception-based actions
• ▹Design safeguards against unintended tool execution, unauthorized data access and prompt injection
• ▹Develop, train, validate, deploy and monitor ML models using TensorFlow, PyTorch and Scikit-learn
• ▹Develop NLP capabilities using Hugging Face transformer models and cloud AI services
• ▹Design AI solutions on AWS (SageMaker, Lambda, S3), Microsoft Azure and Google Cloud (Vertex AI)
• ▹Build integrations between AI services, ServiceNow, enterprise applications, APIs, databases and data platforms
• ▹Design and optimize ETL/ELT pipelines with Apache Spark and Snowflake
• ▹Establish evaluation frameworks, test suites and regression-testing practices for AI, ML and agentic solutions
• ▹Implement observability, monitoring, tracing, alerting and feedback loops for production AI applications
• ▹Design AI-enabled workflow automations and intelligent experiences within ServiceNow and connected enterprise ecosystems
• ▹Work with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers and AI/ML engineers

Requirements

• ▹Strong hands-on expertise in Python, SQL, cloud services, databases, big-data technologies and modern machine learning frameworks
• ▹Practical experience designing LLM-powered applications that safely connect models to enterprise knowledge, systems, APIs and workflows
• ▹Experience in AI/ML architecture, generative AI engineering, data engineering and cloud solution design
• ▹Experience with TensorFlow, PyTorch, Scikit-learn and Hugging Face
• ▹Proficiency with SQL, MySQL, PostgreSQL and MongoDB, as well as Apache Spark and Snowflake

Soft skills

What we offer

• ▹Partner enablement, technical training and product education through the Anthropic partnership

About the company

NewRocket is an AI-first Elite ServiceNow Partner that helps enterprises create value on the Now Platform. It is also an Anthropic partner, supporting clients in adopting Claude-powered AI solutions.