GenAI Solutions Architect

GenAI Solutions Architect Duration: 6+ months Location: Remote Must have Master's or PHD level degrees. Looking for candidates with Fortune 500 client experience, ideally working in a Center of Excellence Technical Requirements Experience with several of the following technologies: 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 Preferred Qualifications 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. RIT Solutions