Artificial Intelligence Architect - Foundation Models and Large Language Models Specialist

AI Architect

Expert in foundation models and LLMs (GPT‑4o, Claude, Llama, open‑source). Strong in GenAI patterns: RAG, summarization, reranking, chunking, vector indexing, and prompt engineering. Proficient with LangChain/LangGraph for production AI workflows. Experienced in agentic systems, tool use, and multi‑agent architectures. Skilled with vector DBs: PGVector, Pinecone, Amazon Titan, Azure AI Search. Strong understanding of scalable data pipelines and high‑performance retrieval. Experienced integrating LLMs via APIs, microservices, and enterprise middleware. Familiar with MLOps/GenAIOps: CI/CD, monitoring, safety layers, continuous improvement. Hands-on with AWS Sagemaker, Azure ML, and Google Vertex AI. Solid grounding in AI governance, security, and responsible AI. Delivered enterprise-scale GenAI apps (search, chatbots, content gen, digital twins, automation). • Ability to work closely with data scientists, ML engineers, architects, product managers, and business stakeholders. • Strong communication skills to articulate deep technical concepts and architectural decisions. Architect GenAI solutions using LLMs, RAG, multi‑agent systems, and enterprise‑grade retrieval workflows. Build modular, composable AI pipelines with LangChain/LangGraph. Optimize embeddings, chunking, retrieval, and vector search for large‑scale applications. Deliver secure, scalable, compliant AI architectures aligned with enterprise ecosystems. Lead experimentation, evaluation, prompt engineering, and model optimization. Partner with data science, engineering, product, and business teams to drive AI adoption.