Remote Lead: Conversational & Agentic AI Architect

Verizon

United States

Remote

USD 140,000 - 210,000

Full time

9 days ago
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Benefits offered by this job

Health insurance
401(k) match
Paid time off

Job summary

Verizon is seeking a highly skilled Conversational & Agentic AI Architect to design, build, and optimize enterprise-grade conversational AI and multi-agent solutions within a Consulting organization. This role demands hands-on technical architecture and a product-led engineering mindset spanning speech science and Generative AI.

You will consult with customers to craft dynamic, multi-turn experiences, integrating complex backend systems while managing advanced NLU and LLM models.

Qualifications

  • Proficiency in Python/JavaScript with experience in AI/ML tooling.
  • Expertise in building scalable conversational AI architectures.
  • Experience with GenAI, LLMs, and multi-agent systems.

Responsibilities

  • Architect and maintain complex conversational flows with modern AI.
  • Lead LLM fine-tuning, prompt engineering, and evaluations.
  • Tune STT/STS and extract critical data from speech.
  • Integrate agents with third-party APIs and databases via serverless backends.
  • Benchmark ROI and monitor logs to drive improvements.
  • Travel up to 25%.

Skills

Python
JavaScript
Java
Next.js
Node.js
React
GenAI
LLM Models
NLP
Cloud computing

Education

Bachelor's degree or 4+ years experience

Tools

Dialogflow Playbooks
Vertex AI
Microsoft Copilot Studio
LangSmith
LangFuse
Streamlit
Arize
GCP
AWS
Azure

Job description

Verizon is seeking a highly skilled Conversational & Agentic AI Architect to design, build, and optimize enterprise-grade conversational AI and multi-agent solutions within a Consulting organization. This role demands hands-on technical architecture and a product-led engineering mindset spanning speech science and Generative AI.

You will consult with customers to craft dynamic, multi-turn experiences, integrating complex backend systems while managing advanced NLU and LLM models.

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