Agentic AI Architect-Anthropic-Netherlands/EMEA

Agentic AI Architect-Anthropic Partnership

Why Us

NewRocket is proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

Travel to clients and conferences as needed.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew

The Role

NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions.

This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership. You will be responsible for defining scalable architectures for AI and machine learning applications, including predictive analytics, natural language processing, retrieval-augmented generation (RAG), intelligent automation, and agentic AI systems.

The ideal candidate brings strong hands‑on expertise in Python, SQL, cloud services, databases, big‑data technologies, and modern machine learning frameworks. You will also have practical experience designing LLM‑powered applications that safely connect models to enterprise knowledge, systems, APIs, and workflows.

You will work closely with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into secure, reliable, and production‑ready AI solutions.

What You Will Be Doing

AI/ML Architecture & Solution Delivery

• 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, user experiences, monitoring, and governance.
• Partner with business and technical stakeholders to identify high‑value AI opportunities and translate requirements into actionable 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 for enterprise AI delivery.
• Lead technical discovery, architecture workshops, design reviews, proof‑of‑concepts, and client demonstrations.

Generative AI, Anthropic & LLM Engineering

• Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms when appropriate for the business use case.
• Apply effective prompt and context‑engineering practices, including instruction design, few‑shot examples, role definition, structured inputs and outputs, response constraints, and long‑context management.
• Architect retrieval‑augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources.
• Design document ingestion, chunking, embedding, vector search, retrieval, reranking, citation, and response‑generation patterns for enterprise knowledge workflows.
• Build and integrate AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration.
• Assess and recommend the appropriate balance of LLMs, traditional machine learning, deterministic automation, enterprise search, and human decision‑making for each use case.
• Stay current on Anthropic platform capabilities, Claude releases, Anthropic implementation guidance, responsible AI principles, and enterprise AI best practices.
• Complete relevant Anthropic partner enablement, technical training, and product education as available through NewRocket’s partnership.
• Travel to clients and conferences as needed.

Agentic AI & Workflow Orchestration

• Architect and implement agentic AI systems that can reason over enterprise context, use authorized tools, execute multi‑step tasks, and coordinate work across enterprise applications.
• Design AI agents with defined roles, task boundaries, tool permissions, memory and context strategies, approval gates, fallback paths, and escalation mechanisms.
• Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems.
• Implement human‑in‑the‑loop control