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Gen AI Architect / Senior Technical Architect
Gen AI Architect / Senior Technical ArchitectSimarn Solutions • California, California, United States
Gen AI Architect / Senior Technical Architect

Gen AI Architect / Senior Technical Architect

Simarn Solutions • California, California, United States
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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.
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