Gen AI Architect

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.

• Bachelors or Masters 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.

• 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.

• 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