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# GenAI Solutions Architect

- **Company:** EXPERT RECRUITING SOLUTIONS, LLC
- **Location:** Tampa, FL, United States (Remote available)
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Natural Language Processing, OpenAI, Software Deployment, Pinecone, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Google Vertex AI, Llamaindex, Agentic-AI, HuggingFace, Weaviate, FAISS, Claude, Api Design, Google Gemini, ChromaDB
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/87a5c54e-b989-41de-9974-e29a95ee6631/genai-solutions-architect

## About the Role

must have Master's or PHD level degrees. Looking for candidates with Fortune 500 client experience, ideally working in a Center of Excellence, * Experience leading enterprise AI transformation initiatives.

 * Experience evaluating and selecting GenAI technologies for large organizations.
 * Background working across multiple AI domains including NLP, Computer Vision, and Predictive Analytics.
 * Experience estimating ROI and business value for AI investments.
 * Experience presenting AI strategy and architecture recommendations to executive leadership.

Interview Focus Areas

Candidates should be able to clearly articulate:

 * How many GenAI/AI POCs they have personally architected and delivered.
 * Examples of POCs that progressed to funded initiatives or production deployments.
 * Their experience building RAG and Agentic AI solutions.
 * How they evaluate and select AI technologies and platforms.
 * Their role within an AI Center of Excellence and interaction with engineering teams.
 * Examples of executive presentations and stakeholder-facing solution design discussions.

This role is ideal for a highly technical AI architect who enjoys solving complex business problems, building innovative GenAI solutions, and driving enterprise AI adoption from concept through implementation.

## Description

* Large Language Models (OpenAI, Claude, Gemini, Llama, etc.)
 * RAG Architecture
 * Agentic AI Frameworks
 * Vector Databases:
 + Pinecone
 + Weaviate
 + Chroma
 + FAISS
 * Google Vertex AI
 * AWS SageMaker
 * Hugging Face
 * LangChain
 * LangGraph
 * LlamaIndex
 * Python
 * Machine Learning & Deep Learning Frameworks
 * Cloud Platforms (AWS, GCP, Azure)
 * API Design & Integration