Gen AI Architect / Senior Technical Architect

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.