GenAI Solutions Architect

• 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

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.