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Generative AI Architect

American IT Systems
9 days ago
Contract
On-site
Plano, Texas, United States
$65 - $70 USD hourly
Generative AI

Title: Generative AI Architect

Location: Plano,TX

Experience: 8+ yrs

We are looking for an experienced and hands-on Generative AI (GenAI) Architect to design and implement enterprise-scale AI solutions. The ideal candidate will have strong experience with LLMs, Agentic AI, RAG, MLOps/LLMOps, cloud architecture, and enterprise production deployments.

The candidate must have proven experience taking GenAI solutions from prototype/POC to scalable enterprise production environments.

Key Responsibilities

  • Architect and implement end-to-end Generative AI and Agentic AI solutions.
  • Design enterprise-grade solutions using LLMs, RAG, multi-agent workflows, and vector databases.
  • Build scalable AI architectures on Microsoft Azure or Google Cloud Platform (GCP).
  • Lead GenAI solutions from POC/prototype through production deployment.
  • Integrate GenAI solutions with enterprise applications, APIs, data platforms, and cloud services.
  • Establish MLOps/LLMOps practices for deployment, monitoring, and lifecycle management.
  • Design solutions considering enterprise security, scalability, governance, reliability, and integration requirements.

Must-Have Skills

  • 8–10+ years of experience in Software Engineering, Data Science, Machine Learning, or AI.
  • 3+ years of experience as a Solution Architect/System Architect.
  • Strong enterprise-level experience architecting and deploying GenAI solutions in large-scale production environments.
  • Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI/Multi-Agent architectures.
  • Strong programming experience in Python.
  • Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
  • Strong cloud architecture experience with Microsoft Azure or GCP.
  • Hands-on experience with vector databases such as Pinecone, Milvus, Qdrant, or PGVector.
  • Strong understanding of MLOps/LLMOps, model deployment, monitoring, and productionization.
  • Experience with SQL, PySpark, distributed computing, and API design.
  • Experience with PyTorch or TensorFlow.

Preferred Skills

  • Experience designing and implementing multi-agent AI ecosystems.
  • Strong knowledge of enterprise AI security, governance, scalability, and integration patterns.
  • Experience integrating GenAI/LLM solutions with existing enterprise applications and data platforms.