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Noblesoft Technologies

Gen AI Architect

Pleasanton, CA · Remote

Pleasanton , California (Remote) JD: We are seeking an experienced Generative AI Architect to lead ... Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine ...

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As of Aug 27, 2026, the average hourly pay for remote stable diffusion in the United States is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $40.38 per hour, depending on experience, location, and employer.
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Infographic showing various Remote Stable Diffusion job openings in the United States as of August 2026, with employment types broken down into 49% Full Time, 17% Part Time, 17% Temporary, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $65,659 per year, or $31.6 per hour.

Gen AI Architect

Pleasanton, CA • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

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Re-posted 9 days ago

Job description

Job Title: Gen AI Architect
Location: Pleasanton , California (Remote)
 
JD: We are seeking an experienced Generative AI Architect to lead the design, development, and deployment of cutting-edge generative AI systems. The ideal candidate will combine deep technical knowledge of AI/ML (particularly large language models and diffusion models) with strong architecture and leadership skills. You will play a critical role in shaping our AI strategy and enabling innovative products powered by generative technologies.
 
Key Responsibilities:
  • Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives.
  • Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies.
  • Lead the development of custom LLM applications, including prompt engineering, fine-tuning, RLHF, and model compression.
  • Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms.
  • Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability).
  • Guide the implementation of AI infrastructure (data pipelines, vector databases, model serving, APIs).
  • Stay up-to-date on the latest AI research and tools, and make recommendations for adoption.
  • Conduct proofs-of-concept, prototypes, and performance benchmarking.
  • Mentor junior engineers and contribute to best practices and internal knowledge sharing.
 
 
Required Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning
  • 7+ years of experience in AI/ML, with 3+ years in generative AI (LLMs, diffusion models, etc.).
  • Proven experience designing and deploying large-scale AI systems.
  • Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms.
  • Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
  • Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable architectures (e.g., microservices, serverless).
  • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems.
  • Familiarity with responsible AI frameworks and privacy-preserving techniques.
 
 
Preferred Qualifications:
  • Experience with open-source LLMs and model distillation/quantization techniques.
  • Exposure to multimodal AI models (e.g., CLIP, DALL·E, Imagen).
  • Contributions to AI/ML research (e.g., published papers, open-source projects).
  • Experience building GenAI copilots, chatbots, or productivity tools.
 
 
Soft Skills:
  • Strong problem-solving and analytical skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to translate complex AI concepts into business value.
  • Entrepreneurial mindset and passion for innovation