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.
Numbers & Facts
Location
Pleasanton, CA
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Benchmarkingunmatched
Best Practicesunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Conversation Engineunmatched
Cross-Functionalunmatched
Data Managementunmatched
Data Scienceunmatched
Database Designunmatched
Embedded Systemsunmatched
Entrepreneurshipunmatched
GCP (Good Clinical Practices)unmatched
Large-Scale Systemsunmatched
Leadershipunmatched
Machine Learningunmatched
Mentoringunmatched
Microservicesunmatched
Microsoft Windows Azureunmatched
Modeling Languagesunmatched
Open Sourceunmatched
Problem Solving Skillsunmatched
Product Designunmatched
Proof of Conceptunmatched
Prototypingunmatched
Publicationsunmatched
Software Developmentunmatched
🎯
Be found by employers
5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.