Gen AI Architect

Gen AI Architect Hybrid – San Francisco, CA Key Responsibilities 1. AI Architecture & Design Architect end-to-end GenAI solutions (LLMs, RAG, multi-agent systems) Design scalable AI platforms on AWS / Azure / GCP Build APIs, microservices, and AI pipelines integrated with enterprise systems 2. GenAI / LLM Engineering Develop and deploy: Retrieval-Augmented Generation (RAG) Prompt engineering strategies Fine-tuning (LoRA, RLHF, SFT) Work with models like GPT, Claude, Gemini, LLaMA 3. Agentic AI & Frameworks Build multi-agent workflows using: LangChain / LangGraph / CrewAI Design orchestration, memory systems, and agent collaboration patterns 4. Cloud & MLOps / LLMOps Implement LLMOps pipelines Deploy models using: AWS Bedrock / Azure OpenAI / Vertex AI Ensure monitoring, observability, and governance 5. Leadership & Strategy Define GenAI architecture roadmap Work with stakeholders (CxO, product, business teams) Lead PoCs, client demos, and AI transformation initiatives Required Skills Technical Strong in Python, APIs, microservices AI/ML frameworks: TensorFlow, PyTorch, Hugging Face Deep understanding of: NLP / NLU LLMs & embeddings Vector databases Experience with: RAG architectures Agentic AI systems