Role: 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.