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Forward Deployed AI Engineer-Anthropic-US East

Job in New Brunswick, Middlesex County, New Jersey, 08933, USA
Listing for: NewRocket
Full Time position
Listed on 2026-10-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 160000 - 230000 USD Yearly USD 160000.00 230000.00 YEAR
Job Description & How to Apply Below

New Rocket

New Rocket’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

New Rocket is seeking a highly skilled

Forward Deployed AI Engineer

AI Foundry | New Rocket

Location:

Remote with travel (~70%)

New Rocket

New Rocket’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

New Rocket 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, New Rocket 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 Service Now and broader enterprise ecosystems.

You will also contribute directly to the evolution of New Rocket’s AI platforms, accelerators, and intellectual property, including the New Rocket 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 regarding responsible AI deployment, and the ability to operate effectively in fast-moving customer environments.

Key Responsibilities Client Delivery & AI Solution Implementation
  • Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations within client Service Now environments and enterprise technology ecosystems.
  • Translate customer business requirements, operational processes, and desired outcomes into technical architectures, implementation plans, and production-ready AI solutions.
  • Implement and integrate New Rocket Agent Packs, AI accelerators, and workflow solutions into enterprise environments.
  • Work directly with customer teams to tailor AI solutions to their operating models, business processes, data sources, security requirements, and user needs.
  • Support workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production rollouts.
  • Clearly communicate AI capabilities, limitations, tradeoffs, solution behavior, and adoption considerations to technical and business stakeholders.
Anthropic and Generative AI Engineering
  • Build enterprise AI applications and workflows using Claude, the Anthropic API, and other LLM platforms as appropriate for the client use case.
  • Apply effective prompt and context-engineering techniques, including clear instructions,…
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