Job Summary

• The AI & Data Architect Manager designs and delivers cloud-scale data solutions (lake/warehouse/marts/APIs) and production AI capabilities (ML/GenAI/LLM patterns) that are reusable across the enterprise, ensuring strong engineering practices, testability, security, and operational excellence.
• Lead data modeling and engineering across advanced data platforms to achieve digital outcomes, including solution designs for Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs, with ownership of enterprise data quality standards across structured, semi‑structured, and unstructured data domains.
• Lead the design and implementation of AI models and algorithms (GenAI/LLM-enabled and traditional ML patterns), including model selection/orchestration, agents, RAG-style patterns, and evaluation approaches as appropriate for regulated environments.

Matching Summary

Skills & Requirements

Key Requirements

• Bachelor’s degree (Master’s preferred)
• 4+ years in data engineering/architecture
• 2+ years delivering GenAI & AI/ML solutions
• Strong Python engineering & SQL
• Snowflake experience
• Cloud architecture experience
• ETL/ELT pipelines with CI/CD automation
• Enterprise data quality standards implementation
• GenAI & AI/ML end-to-end delivery
• LLM concepts and practices
• Vector databases and embedding-based retrieval
• Unstructured and semi-structured data experience
• Proven ability to lead/co-lead projects
• Strong communication skills

Work Rights