Remote Senior Conversational AI Architect — Agentic & LLM

Verizon

Irving (TX)

Remote

USD 150,000 - 230,000

Full time

5 days ago
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Job summary

Verizon is seeking a Conversational & Agentic AI Architect to design, build, and optimize enterprise-grade conversational AI and multi-agent solutions in a consulting context.

The role requires hands-on architecture, product-minded engineering, and expertise in speech science and GenAI. You will consult with customers to create dynamic, multi-turn experiences while integrating complex back-end systems and ensuring model safety and performance.

Qualifications

  • Bachelor's degree or four or more years of work experience.
  • Six+ years of relevant experience in AI/ML engineering or architecture.
  • Proficiency in Python, JavaScript, Java, and modern frameworks with GenAI and LLMs.
  • Cloud experience on GCP, Azure or AWS; familiar with Terraform, Ansible or similar tools.
  • Experience with LLM observability, analytics, testing and annotation tools.
  • Willingness to travel 25%.

Responsibilities

  • Design, build, and optimize enterprise-grade conversational AI and multi-agent solutions.
  • Lead architecture from traditional flows to Generative AI with multi-agent orchestration.
  • Manage intents, prompt engineering, and model tuning for latency-sensitive applications.
  • Integrate back-end systems via webhooks and serverless services.
  • Measure ROI with automated testing and telemetry.

Skills

Python
JavaScript
Java
Next JS
Node.js
React.js
GenAI
LLM Models
MCP
Vector DB
RAG
Vertex AI
Agentic AI frameworks
LangChain/LangGraph
AI agents
GCP
Azure
AWS
OpenStack
Terraform
Ansible
Chef
LangSmith
LangFuse
Streamlit

Education

Bachelor's degree or 4+ years work experience

Tools

GCP
Azure
AWS
OpenStack
Terraform
Ansible
Chef
LangSmith
LangFuse
Streamlit
Arize
Vertex AI

Job description

Verizon is seeking a Conversational & Agentic AI Architect to design, build, and optimize enterprise-grade conversational AI and multi-agent solutions in a consulting context.

The role requires hands-on architecture, product-minded engineering, and expertise in speech science and GenAI. You will consult with customers to create dynamic, multi-turn experiences while integrating complex back-end systems and ensuring model safety and performance.

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