Enterprise AI Architect: Agentic & LLM Solutions Leader

highmetric

United States

Remote

USD 180,000 - 250,000

Full time

14 days+

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Job summary

NewRocket seeks an Agentic AI Architect to design and deliver enterprise AI solutions connecting Claude-powered models with ServiceNow and enterprise data. You will lead AI/ML architecture, data engineering, and automation patterns for scalable, secure deployments.

You will collaborate with stakeholders, AI/ML engineers, and data teams to translate business needs into production-grade capabilities, including RAG, agentic workflows, and governance.

Qualifications

  • 10+ years of experience applying AI, ML, data science, or automation to enterprise use cases.
  • Strong coding in Python and SQL, with hands-on ML experience.
  • Experience architecting AI/ML, LLM, RAG, or AI-powered automation solutions.

Responsibilities

  • Architect, develop, deploy, and maintain scalable AI/ML solutions for enterprise use cases.
  • Define end-to-end solution architectures spanning data ingestion, preparation, model selection, orchestration, APIs, and governance.
  • Lead technical discovery, architecture workshops, and client demonstrations.
  • Design AI-enabled workflow automations within ServiceNow and connected ecosystems.
  • Develop AI automation components using APIs, tool use, and pipeline orchestration.
  • Establish governance, monitoring, and reliability practices for production AI systems.

Skills

Python
SQL
Cloud services
Databases
Big-data technologies
ML frameworks

Education

Bachelor's in CS/Data Science/AI/ML

Tools

TensorFlow
PyTorch
Scikit-learn
Apache Spark
Snowflake
LangChain

Job description

NewRocket seeks an Agentic AI Architect to design and deliver enterprise AI solutions connecting Claude-powered models with ServiceNow and enterprise data. You will lead AI/ML architecture, data engineering, and automation patterns for scalable, secure deployments.

You will collaborate with stakeholders, AI/ML engineers, and data teams to translate business needs into production-grade capabilities, including RAG, agentic workflows, and governance.

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