Lead Data Architect

📋 Description

• Own the enterprise AI reference architecture end to end, establishing scalable standards
• Own the roadmap for agentic systems platforms, translating business objectives into sequenced
• Design and maintain the paved road for AI development – golden patterns for building, serving
• Guide optimization of AI compute and token usage as adoption scales, and lead build-versus-buy
• Chunking, embedding and indexing: design chunking strategy per content type, select and evaluate
• Query construction and hybrid retrieval: implement query rewriting, decomposition, and expansion

🎯 Requirements

• Deep enterprise architecture and systems-design expertise.
• Strong foundations in AI, machine learning, and generative AI.
• Data, retrieval, and knowledge architecture expertise.
• Model evaluation and production lifecycle engineering.
• Security, privacy, responsible AI, and governance.
• Scalability, reliability, performance, and AI economics.

🎁 Benefits

• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits