Principal Agentic AI Architect
Company:
Location:United States, EST, PST
Languages:English
Seniority level:Principal, 10+ years
Experience:10+ years
Skills:
LeadershipPythonArtificial IntelligenceMachine LearningSnowflakeSoftware ArchitectureCross-functional Team LeadershipStrategyData engineeringData scienceMicroservicesPrototypingData management
Requirements:
10+ years in AI, data platforms, or emerging tech leadership roles Expertise in LLM-based architectures and multi-agent systems Expertise in Snowflake Cortex or equivalent data-native AI ecosystems Expertise in agent orchestration and prompt management frameworks (LangChain, CrewAI, etc.) Expertise in data governance, interoperability, and responsible AI Expertise in real-time/event streaming and contextual memory (graph or vector) Proven ability to build frameworks that scale from concept to enterprise deployment Strong technical and executive communication skills Experience leading high-performing teams in emerging tech environments
Responsibilities:
Define, prototype, and operationalize agentic AI at scale Own the Agent Catalog and Agent Design Guide Establish frameworks, tools, and methodologies for multi-agent systems Translate AI vision into a sequenced, measurable roadmap Lead LLM and agentic architecture strategy within Snowflake Cortex Prototype and test new agentic architectures and coordination patterns Drive the methodology for agent development, validation, scaling, and maintenance Embed responsible AI principles into the agent framework Connect technical execution to measurable business value
