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# GenAI Solutions Architect

- **Company:** EXPERT RECRUITING SOLUTIONS, LLC
- **Location:** Tampa, FL, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, OpenAI, Software Deployment, Pinecone, Scripting, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Google Vertex AI, Deep Learning, Llamaindex, Agentic-AI, HuggingFace, Weaviate, FAISS, Claude, Api Design, Google Gemini, ChromaDB
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/genai-solutions-architect-tampa-fl--7ff72aae-42b2-4734-b35f-fa087f5ea69a

## About the Role

Customer Experience, Fortune 500 Customers, Modeling Languages, Artificial Intelligence (AI), Amazon Web Services (AWS), Python Programming/Scripting Language, Machine Learning, Deep Learning, Microsoft Windows Azure, Cloud Computing, 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