AI Platform Engineer-Anthropic
Listed on 2026-09-05
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Software Development
AI Engineer (Applied/Software), Software Architect
AI Platform Engineer-Anthropic AI Foundry | New Rocket
Location: [Location / Hybrid / Remote]
Travel: based on client and business needs
Reports to: Global AI Center of Excellence Lead / AI Platform Architect
About New RocketNew Rocket is the AI-first Elite Service Now Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the Service Now AI Platform, New Rocket is one of the largest pure-play Service Now partners.
We are uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value. New Rocket is proud to be an Anthropic partner/vendor. Through this relationship, we are expanding our ability to help enterprise clients responsibly design, deploy, and scale AI solutions powered by Claude and other leading AI technologies. Our AI Foundry teams apply Anthropic-aligned practices across prompt and context engineering, retrieval-augmented generation (RAG), agentic workflows, tool use, structured outputs, model evaluation, security, governance, and human-in-the-loop controls.
We #Go Beyond Workflows to create new kinds of experiences for our customers.
New Rocket is seeking an experienced AI Platform Engineer to build, operate, and continuously improve the technical foundations that enable secure, reliable, scalable enterprise AI solutions. This role combines cloud engineering, platform engineering, Dev Ops, MLOps/LLMOps, data-platform integration, and applied AI engineering. The AI Platform Engineer will work closely with AI Architects, Forward Deployed AI Engineers, data engineers, Service Now teams, product engineering, and customer stakeholders to create reusable platforms, deployment patterns, controls, and operational capabilities for New Rocket’s Anthropic and enterprise AI business.
You will help establish the infrastructure and engineering practices required to move AI solutions from prototype to governed production use. This includes enabling Claude and other LLM-powered applications; supporting RAG and agentic workflows; integrating enterprise data and tools; implementing observability and evaluation; and maintaining strong security, privacy, and governance controls. The ideal candidate is a hands‑on engineer who is comfortable working across cloud infrastructure, APIs, CI/CD, data systems, containers, AI application frameworks, and enterprise security requirements.
You are equally motivated by building reusable internal capabilities and solving practical customer-delivery challenges.
- Design, build, deploy, and maintain scalable platform capabilities that support enterprise AI, machine learning, LLM, RAG, and agentic AI applications.
- Create reusable reference architectures, infrastructure patterns, deployment templates, integration components, and engineering standards for New Rocket’s AI Foundry.
- Build platform capabilities that enable AI applications to securely connect to enterprise data, APIs, workflow systems, and authorized tools.
- Partner with AI Architects and Forward Deployed AI Engineers to translate client needs into reliable, supportable technical platform designs.
- Support the technical evolution of New Rocket’s AI intellectual property, including the New Rocket Intelligence Platform, Data Intelligence Platform, Value Realization Dashboard, Agent Packs, and reusable AI accelerators.
- Evaluate and recommend cloud, data, AI, observability, orchestration, and security technologies that improve delivery speed, quality, scalability, and cost efficiency.
- Build and maintain secure, reusable integrations with the Anthropic API, Claude models, and other approved AI services.
- Enable LLM-powered applications through standardized patterns for authentication, model access, prompt and context management, structured outputs, tool use, logging, error handling, and rate-limit…
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