Kubernetes Architect

Job Title : Principal AI / ML Engineer Location : Seattle, WA Role Overview We are looking for a highly accomplished Principal AI / ML Engineer to lead the design, development, and deployment of next-generation AI solutions. This role requires a visionary technical leader with deep expertise in Generative AI, LLMs, MLOps, and advanced ML architectures . You will define the technical strategy, mentor engineering teams, and drive innovation across enterprise AI initiatives.

Key Responsibilities

• AI / ML Architecture & Solution Design Architect scalable AI / ML frameworks, platforms, and system designs aligned with enterprise needs. Develop standards, best practices, and reusable components for high-performance AI systems.
• End-to-End Model Lifecycle Lead the full ML lifecycle including data preparation, feature engineering, model training, optimization, deployment, and ongoing monitoring. Ensure model performance, accuracy, and reliability at scale.
• MLOps & Engineering Excellence Build and optimize end-to-end MLOps pipelines using industry-leading tools. Enable CI / CD for ML workflows and production-grade automation of training and inference systems.
• Leadership & Team Development Mentor senior engineers and guide cross-functional technical teams toward building impactful AI products. Foster a culture of innovation, technical rigor, and continuous improvement.
• Generative AI & Innovation Lead initiatives in LLM fine-tuning, Retrieval-Augmented Generation (RAG), embeddings, and vector search technologies. Evaluate emerging AI trends and technologies to accelerate organizational innovation.
• Governance, Security & Ethics Ensure compliance with AI governance, fairness, bias mitigation, and responsible AI principles. Define policies for secure, safe, and ethical AI practices.
• Strategic Business Alignment Collaborate with business, product, and executive teams to align AI programs with organizational priorities. Translate complex technical concepts into actionable business strategies.

Required Skills & Experience