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← NewRocket

Agentic AI Architect-Anthropic-US East

NewRocket
Location
USA - Remote Eastern US
Posted
26 days ago
Department
Agentic AI
What they actually want (must-haves)
  • 10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases
  • Strong coding expertise in Python and SQL
  • Hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions
  • Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns
  • Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation
Nice to have
  • Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance
  • Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications
  • Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows
  • Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources
  • Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models
What the job really is

The Agentic AI Architect role at NewRocket involves designing and deploying enterprise AI solutions that integrate Claude and other AI technologies with business processes and workflows. The architect will work on AI/ML architecture, generative AI engineering, and cloud solution design, collaborating with various stakeholders to create scalable and secure AI applications. Responsibilities include defining architectures, implementing AI systems, and ensuring the quality and governance of AI solutions.

Things to weigh
  • Travel to clients and conferences as needed may be required
  • The role involves a significant amount of collaboration across various teams, which may require strong interpersonal skills
  • No specific salary or benefits information is provided in the posting
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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