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

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.

• 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.

• 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, Tensor Flow, Hugging Face, Lang Chain, 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.

• 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.

• 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.