Generative AI Enterprise Architect
Core
Design, structure, and scale Generative AI capabilities and large language models (LLM) across the enterprise to power customer experiences and internal workflows.
Role type
Senior Enterprise Data Architect (Generative AI)
Builds
Scalable AI-driven systems integrating data, knowledge, and LLMs for production use cases
Domain
Financial services, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Generative AI architecture, LLM orchestration, data modeling, distributed platform design, information retrieval, semantic search, RAG patterns, agent design, system observability
Preferred skills
Production scaling of GenAI/LLM systems, knowledge-based architectures, designing AI-influenced decision workflows, failure mode analysis for non-deterministic systems
Technologies
AWS, Snowflake, Bedrock, vector databases, APIs, event-driven architecture, infrastructure as code
Responsibilities
Define architectural strategy for GenAI and LLM capabilities; structure enterprise data and metadata for AI use cases; establish data flow patterns for ingestion, transformation, and retrieval; guide AI system handling of ambiguity and non-deterministic behavior; orchestrate models, data sources, and workflows into scalable systems; evaluate and operate AI systems in production for quality and reliability
Seniority
Senior, hands-on IC with strategic influence
