GenAI Architect: Enterprise-Scale LLMs & Production

Nexwave

Plano (TX)

On-site

USD 180,000 - 260,000

Full time

3 hours ago
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Job summary

Nexwave is seeking an experienced Generative AI Architect to design and implement enterprise-scale GenAI solutions in Plano, Texas. The role focuses on architecting end-to-end GenAI and Agentic AI systems, leveraging LLMs, RAG, and multi-agent workflows, with production deployments on Azure or GCP.

The candidate will drive POC-to-production efforts, integrate with enterprise APIs and data platforms, and establish MLOps/LLMOps to ensure governance, security, and reliability across scalable

Qualifications

  • 8-10+ years in Software Engineering, Data Science, ML, or AI.
  • 3+ years as a Solution Architect/System Architect.
  • Proven GenAI deployments at enterprise scale.
  • Strong Python programming experience.

Responsibilities

  • Architect end-to-end Generative AI and Agentic AI solutions.
  • Design enterprise-grade AI using LLMs, RAG, and multi-agent systems.
  • Build scalable AI architectures on Azure or GCP.
  • Lead GenAI projects from POC to production deployment.
  • Integrate GenAI with enterprise apps, data platforms, and APIs.
  • Establish MLOps/LLMOps practices for deployment and monitoring.
  • Address security, scalability, governance, and reliability.

Skills

Software Engineering
Data Science
Machine Learning
AI
Solution Architect
GenAI & LLMs
Python
Azure & GCP
Vector Databases
MLOps/LLMOps
SQL / PySpark

Tools

LangChain
LlamaIndex
CrewAI
AutoGen

Job description

Nexwave is seeking an experienced Generative AI Architect to design and implement enterprise-scale GenAI solutions in Plano, Texas. The role focuses on architecting end-to-end GenAI and Agentic AI systems, leveraging LLMs, RAG, and multi-agent workflows, with production deployments on Azure or GCP.

The candidate will drive POC-to-production efforts, integrate with enterprise APIs and data platforms, and establish MLOps/LLMOps to ensure governance, security, and reliability across scalable

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