GenAI Solutions Architect

Required Qualifications

• 8+ years of experience in Software Engineering, Machine Learning, AI, or Solution Architecture roles.
• Strong technical background in Machine Learning, NLP, Computer Vision, or related AI disciplines.
• Hands-on experience architecting Generative AI solutions in enterprise environments.
• Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
• Experience with Agentic AI frameworks and autonomous workflow orchestration.
• Deep understanding of Large Language Models (LLMs) and prompt engineering methodologies.
• Experience working within an AI Center of Excellence (CoE) or similar innovation-focused organization.
• Proven track record of building successful AI POCs and advancing them to funded initiatives and production implementations.
• Excellent communication, presentation, and stakeholder management skills.

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, Google Cloud Platform, 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.