Forward Deployed AI Engineer-Anthropic-UK

Forward Deployed AI Engineer AI Foundry | NewRocket Location: Remote with travel (~25%) NewRocket NewRocket ’s partnership with Anthropic gives our AI team access to leading-edge Claude technology and positions us at the forefront of enterprise AI adoption.

You’ll work directly with clients to turn emerging AI capabilities into practical, scalable business solutions—combining strong engineering skills with a deep understanding of real-world business needs.

Role Overview

NewRocket is seeking a highly skilled Senior Forward Deployed AI Engineer to join the AI Foundry team and work directly with customers to deploy, operationalize, and scale AI-powered workflow solutions.

This role blends full-stack engineering, enterprise integration, generative AI implementation, and client-facing solution delivery.

Forward Deployed AI Engineers partner closely with business consultants, product teams, AI/ML engineers, and customer stakeholders to translate real-world business problems into secure, reliable, deployable AI-driven solutions.

As an Anthropic partner/vendor, NewRocket is expanding its capability to design and deliver enterprise solutions using Claude and other leading AI technologies.

In this role, you will apply modern LLM engineering practices—including prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, agentic workflows, model evaluation, and responsible AI controls—to deliver measurable customer value.

You will help customers implement agentic AI workflows, intelligent automations, and AI-powered integrations within ServiceNow and broader enterprise ecosystems.

You will also contribute directly to the evolution of NewRocket ’s AI platforms, accelerators, and intellectual property, including the NewRocket Intelligence Platform , Value Realization Dashboard , Data Intelligence Platform , and reusable Agent Packs .

This role requires strong engineering skills, curiosity about emerging AI technologies, sound judgment regar