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← NewRocket

Senior/Lead Forward Deployed AI Engineer-Anthropic-US West

NewRocket
Location
USA - Remote
Posted
25 days ago
Department
Agentic AI
What they actually want (must-haves)
  • 8+ years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery roles
  • Strong engineering foundation with hands-on experience in full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native applications
  • Experience building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows
  • Experience integrating APIs, enterprise applications, data platforms, or workflow systems in production environments
  • Proficiency in JavaScript/TypeScript, Python, or similar programming and scripting languages
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud
Nice to have
  • Hands-on experience with the Anthropic API, Claude models, Anthropic Console, Claude Code, or Anthropic implementation guidance
  • Completion of relevant Anthropic Academy learning, partner enablement, technical training, or equivalent hands-on experience deploying Claude-based solutions
  • Experience applying Claude capabilities such as long-context processing, tool use, structured outputs, document analysis, and enterprise knowledge workflows
  • Experience with ServiceNow development, configuration, workflow automation, or enterprise platform implementation
  • Familiarity with ServiceNow scripting, APIs, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, and platform development patterns
What the job really is

The Senior Forward Deployed AI Engineer at NewRocket will work remotely, engaging directly with clients to deploy and operationalize AI-powered solutions, particularly within ServiceNow environments. This role involves full-stack engineering, integrating generative AI technologies, and collaborating with various stakeholders to translate business needs into technical solutions. Responsibilities include implementing AI workflows, developing prototypes, and ensuring the reliability and security of deployed systems.

Things to weigh
  • Role involves approximately 25% travel
  • The position requires strong client-facing skills and the ability to operate in fast-moving environments
  • Focus on responsible AI deployment and modern LLM practices may require ongoing learning and adaptation
  • No specific salary or benefits mentioned in the posting
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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