Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)
Skills
Amazon Web Services
Artificial Intelligence
Benchmarking
Cloud Computing
Collaboration
Job Details
We are looking for an AI Architect for our client in Pleasanton, CA
Job Title: AI Architect
Job Type: Contract
Job Description:
Pay Range: $70hr - $75hr
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.
- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or 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, Lang Chain, etc.
- Strong knowledge of MLOps, cloud platforms (AWS, Google Cloud Platform, Azure), and scalable architectures (e.g., microservices, serverless).
- Experience with vector databases (e.g., Pinecone, Weavitate, 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.