Responsibilities

• Translate high-level AI vision into a sequenced, measurable roadmap with quarterly deliverables
• Balance innovation, differentiation, and commercial outcomes in a structured framework
• Drive alignment across technology, data, and business stakeholders
• Full ownership of the Agent Catalog and Agent Design Guide — defining taxonomy, governance, design standards, and lifecycle management
• Codify best practices for agent design, skill modularity, dictionaries, and evaluation
• Ensure agents are interoperable, governed, and intentionally architected across business lines
• Lead the LLM and agentic architecture strategy within Snowflake Cortex — optimizing for scalability, security, and alignment with enterprise data governance
• Define standards for prompt orchestration, retrieval strategies, context injection, and agent memory
• Evaluate and integrate multi-agent frameworks to support collaboration, delegation, and reasoning among agents
• Prototype and test new agentic architectures and coordination patterns

Requirements

• 7-9 years in AI, data platforms, or emerging tech leadership roles
• 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
• Expertise in:
• LLM-based architectures and multi-agent systems
• Snowflake Cortex or equivalent data-native AI ecosystems
• Agent orchestration and prompt management frameworks (LangChain, CrewAI, etc.)
• Data governance, interoperability, and responsible AI
• Real-time/event streaming and contextual memory (graph or vector)

Benefits

• Flexible Time Off to recharge when needed
• Nine Company-Wide Holidays
• A diverse suite of benefits prioritizing your growth, development, and personal well-being