AI Architect Principal, AI Foundation

What you'll do

• Develop and maintain the enterprise AI architecture, including reference architectures and design patterns.
• Define the strategy for the company's AI platforms, tools, and infrastructure.
• Lead the evaluation and selection of foundational AI technologies and external partners.
• Provide expert consultation to business units on the practical application of AI technologies.
• Govern the implementation of AI solutions to ensure adherence to architectural standards and best practices.
• Develop comprehensive architecture roadmaps and governance frameworks for enterprise-level AI.
• Design complex, scalable AI and machine learning systems grounded in MLOps and data engineering principles.

What we're looking for

• 8+ years of experience.
• Proven track record of solving ambiguous business problems with novel system architectures.
• Experience designing reference architectures or reusable platforms adopted by multiple teams.
• Master’s degree or PhD in Computer Science, Data Science, Engineering, or related field (preferred).
• Proven experience in a leadership capacity defining enterprise-level AI strategy or enterprise architecture (preferred).
• Deep expertise in designing and architecting complex, scalable AI and machine learning systems (preferred).
• In-depth knowledge of major cloud platforms (GCP, AWS, Azure) and domains like LLMs, NLP, and RAG (preferred).
• Strong command of data strategy, governance, and security principles for enterprise AI (preferred).