Gen AI Architect - Remote / Telecommute

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynet Systems, is seeking the following. Apply via Dice today! We are looking for a Gen AI Architect - Remote / Telecommute for our client in Pleasanton, CA Job Title: Gen AI Architect - Remote / Telecommute Job Location: Pleasanton, CA Job Type: Contract Job Description: Pay Range: $60hr - $65hr Responsibilities: • Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) aligned with business objectives. • Evaluate and select appropriate foundation models such as GPT, LLaMA, or Stable Diffusion, and define fine-tuning strategies. • Lead development of custom LLM applications including prompt engineering, fine-tuning, RLHF, and model compression. • Collaborate with engineering, product, design, and data science teams to integrate AI capabilities into products and platforms. • Ensure responsible and ethical AI practices covering fairness, privacy, and explainability. • Guide implementation of AI infrastructure, including data pipelines, vector databases, and model-serving APIs. • Conduct proofs-of-concept, prototypes, and performance benchmarking. • Stay updated with the latest AI research and recommend innovative tools and techniques for adoption. • Mentor junior engineers and contribute to internal AI best practices and knowledge sharing. Requirement/Must Have: • Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or Machine Learning. • 7+ years of experience in AI/ML with at least 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 fine-tuning paradigms. • Hands-on experience with PyTorch, TensorFlow, Hugging Face Transformers, and LangChain. • Strong knowledge of MLOps and cloud platforms such as AWS, Google Cloud Platform, or Azure. • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems. • Familiarity with responsible AI frameworks and privacy-preserving methods. Preferred Qualifications: • Experience with open-source LLMs and model distillation or quantization. • Exposure to multimodal AI models such as CLIP, DALL E, or Imagen. • Contributions to AI/ML research (papers or open-source projects). • Experience developing GenAI copilots, chatbots, or AI productivity tools. Soft Skills: • Strong problem-solving and analytical skills. • Excellent communication and stakeholder management abilities. • Ability to translate complex AI concepts into actionable business value. • Innovative and entrepreneurial mindset. Qualification and Education: • Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or related discipline.