Gen AI Architect / Senior Technical Architect Location: Pleasanton, California Job Type (C2C): C2C Job Mode (Remote/Hybrid/Onsite): Remote Pay Rate: $75/hr Industry: Information Technology / Artificial Intelligence & Architecture End Date: 01-Dec-2026 Job Description We are seeking an experienced Generative AI Architect to design, build, and deploy advanced generative AI systems. The role involves architecting end-to-end AI solutions, selecting appropriate foundation models, designing LLM applications, integrating AI into enterprise platforms, and ensuring responsible AI practices. The architect will lead technical direction, collaborate with cross-functional teams, mentor engineers, and drive innovation across AI initiatives. Responsibilities • Architect and design end-to-end generative AI solutions across text, image, audio, and multimodal formats. • Evaluate and select suitable foundation models (GPT, LLaMA, Stable Diffusion, etc.). • Lead custom LLM development including fine-tuning, prompt engineering, RLHF, and optimization. • Collaborate with engineering, product, design, and data science teams for AI integration. • Ensure responsible AI practices covering fairness, privacy, and explainability. • Guide AI infrastructure setup including data pipelines, vector DBs, model serving, and APIs. • Conduct POCs, prototypes, and benchmark evaluations. • Stay current with AI research and recommend emerging tools and methods. • Mentor engineers and contribute to best practices and internal knowledge sharing. Required Qualifications • Bachelors or Masters in Computer Science, AI, or related field. • 7+ years in AI/ML with 3+ years in Generative AI (LLMs, diffusion models, etc.). • Proven experience deploying large-scale AI systems. • Deep understanding of transformer architectures and fine-tuning methods. • Hands-on experience with PyTorch, TensorFlow, Hugging Face, LangChain, etc. • Strong knowledge of cloud platforms (AWS/GCP/Azure) and scalable architectures. • Experience with vector databases (FAISS, Pinecone, Weaviate) and RAG systems. • Familiarity with responsible AI frameworks and privacy-preserving techniques. Preferred Qualifications • Experience with open-source LLMs, quantization, and model distillation. • Exposure to multimodal models (CLIP, DALL·E, Imagen). • Contributions to AI research or open-source projects. • Experience building GenAI copilots, chatbots, or productivity tools. Soft Skills • Strong analytical and problem-solving skills. • Excellent communication and stakeholder management. • Ability to translate complex AI concepts into business value. • Innovative, proactive, and collaborative mindset.