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Gen AI Architect

HMG AMERICA LLC

full-remotearchitectpermanentother United States 2 days ago via LinkedIn

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Tags

Generative AILarge Language Models (LLMs)Agentic AIRAGLangChainLangGraphMLOps/LLMOpsAWS BedrockKubernetesVector Databases

About the role

Role Overview

Gen AI Architect (Level 4) responsible for leading the design, architecture, and implementation of enterprise-scale generative AI solutions. This is a remote (USA) role with travel as needed.

Responsibilities

  • Design and implement enterprise-grade Generative AI and Agentic AI solutions
  • Architect scalable AI platforms using LLMs, RAG, vector databases, and multi-agent systems
  • Lead solution design using foundation models such as OpenAI, Claude, Gemini, and Llama
  • Build cloud-native architectures on AWS, Azure, or GCP, emphasizing security, scalability, and performance
  • Define best practices for prompt engineering, model evaluation, AI governance, and Responsible AI
  • Translate business requirements with stakeholders into AI-driven solutions
  • Lead architecture reviews and drive solution delivery with technical teams
  • Establish MLOps/LLMOps practices for deployment, monitoring, and model lifecycle management
  • Mentor AI engineers and development teams in GenAI technologies

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
  • 10+ years overall IT experience (software engineering, cloud architecture, or AI/ML)
  • 3+ years hands-on experience in Generative AI architecture
  • Strong expertise in Python and AI development frameworks
  • Experience with:
    • OpenAI, Claude, Gemini, Llama
    • LangChain, LangGraph, CrewAI, AutoGen
    • RAG architectures and vector databases (Pinecone, Weaviate, FAISS, ChromaDB)
    • AWS Bedrock / Azure OpenAI / Google Vertex AI
    • Docker, Kubernetes, CI/CD
    • MLOps/LLMOps
  • Strong understanding of AI governance, security, compliance, and Responsible AI
  • Excellent communication and client-facing skills

Preferred Qualifications

  • Experience designing Agentic AI and multi-agent architectures
  • Knowledge of MCP (Model Context Protocol) and AI agent ecosystems
  • Experience with AI observability, evaluation frameworks, and guardrails
  • Consulting or customer-facing architecture experience
  • Relevant cloud certifications

About HMG AMERICA LLC

HMG AMERICA LLC is a technology-oriented organization providing enterprise AI and cloud solutions. The role focuses on designing and implementing large-scale generative AI architectures for real-world business use cases.

Scraped 8/6/2026