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.