Gen AI Architect , $60/hr on C2C, Sunrise, FL, Onsite Project

We are seeking an experienced Generative AI Architect to design, develop, and lead enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and Multi-Agent Systems. The ideal candidate will have a strong background in AI/ML architecture, cloud platforms, Python development, and modern GenAI frameworks to build scalable, secure, and production-ready AI applications.

Key Responsibilities

• Design and architect enterprise-grade Generative AI solutions using LLMs and Agentic AI.
• Develop AI assistants, copilots, chatbots, and knowledge management solutions.
• Build Retrieval-Augmented Generation (RAG) pipelines using Vector Databases.
• Design and implement Multi-Agent AI systems using LangGraph, CrewAI, AutoGen, or similar frameworks.
• Integrate OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and open-source LLMs into enterprise applications.
• Build semantic search solutions using embedding models and vector databases.
• Define AI architecture, governance, security, scalability, and deployment strategies.
• Collaborate with business stakeholders to translate requirements into AI-driven solutions.
• Optimize LLM performance, latency, token usage, and inference costs.
• Implement AI monitoring, observability, guardrails, and responsible AI practices.
• Mentor engineering teams and establish GenAI development best practices.

Required Skills

• 10+ years of software development and solution architecture experience.
• 5+ years of hands-on experience in Generative AI and Large Language Models.
• Strong expertise in:
  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI / AI Agents
  • Prompt Engineering