Generative AI Architect Role – Seattle (Urgent Hire, Onsite) W2 only

Job Title: Generative AI Architect (W2 only )
Client: Insurance based company 

Location: Seattle  all 5 days Onsite 

Job Summary:

We are seeking a highly skilled and visionary Generative AI Architect to lead the design, development, and deployment of next-generation AI solutions leveraging large language models (LLMs), diffusion models, and other generative technologies. This role requires deep technical expertise in machine learning, software engineering, and AI infrastructure, as well as the ability to collaborate cross-functionally to bring innovative solutions to life.

Key Responsibilities:

• Design end-to-end architectures for generative AI solutions, including model selection, training pipelines, data infrastructure, APIs, and deployment workflows.
• Evaluate, fine-tune, and integrate foundational models (e.g., OpenAI, Anthropic, LLaMA, Mistral, Claude, etc.) for specific business use cases.
• Develop strategies for responsible AI usage, including data governance, model bias mitigation, and ethical AI practices.
• Collaborate with product, data, and engineering teams to deliver scalable AI applications across various domains (e.g., content generation, code generation, image/video synthesis, customer support automation).
• Lead the development of POCs, prototypes, and production-grade solutions in cloud environments (AWS, Azure, GCP).
• Define best practices for model lifecycle management, prompt engineering, vector search (e.g., Pinecone, FAISS), and retrieval-augmented generation (RAG).
• Stay current with advances in GenAI research and tools (e.g., LangChain, Hugging Face, Weights & Biases), and translate emerging technologies into business impact.
• Mentor junior AI engineers and contribute to building a high-performing AI team.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. PhD is a plus.
• 7+ years of experience in software engineering, machine learning, or AI architecture roles.
• Strong experience with LLMs, NLP, Transformers, and generative models (e.g., GPT, BERT, T5, DALL·E, Stable Diffusion).
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.
• Experience designing ML workflows, data pipelines, and deploying AI models in production.
• Hands-on experience with vector databases, prompt engineering, and RAG frameworks.
• Deep understanding of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD for AI systems.

Preferred Qualifications:

• Experience with GenAI orchestration tools like LangChain, LlamaIndex, or Haystack.
• Exposure to enterprise AI use cases across industries like healthcare, finance, retail, or telecom.
• Experience with model evaluation techniques, monitoring, and observability for LLM-based systems.
• Strong communication and leadership skills with the ability to influence stakeholders and drive AI strategy.