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

Sunrise, FL, US • Posted 19 hours ago • Updated 16 hours ago

Contract Corp To Corp

Contract W2

Contract Independent

12 Months

No Travel Required

On-site

60+

Fitment

Dice Job Match Score™

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Job Details

Skills

Amazon Web Services
Artificial Intelligence
Generative Artificial Intelligence (AI)
Google Cloud
Google Cloud Platform
LangChain
Large Language Models (LLMs)
LlamaIndex
Machine Learning (ML)
Microservices
Microsoft Azure
Prompt Engineering
Python
RESTful
Scalability
Software Design
Vector Databases
Workflow
Cloud Computing

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91094174
Position Id: 9030386
Posted 19 hours ago

Contact the job poster

Neha Ray

Recruiter @ FASTRA LLC

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