Agentic AI Solutions Lead

Posted 2 months agoViewed
United StatesFull-TimeAI Solutions
Company:
Location:United States
Languages:English
Seniority level:Lead, 7-9 years
Experience:7-9 years
Skills:
Artificial IntelligenceMachine LearningSnowflakeSoftware ArchitectureRESTful APIsPrototyping
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. 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).
Responsibilities:
Translate AI vision into a sequenced, measurable roadmap with quarterly deliverables. Balance innovation, differentiation, and commercial outcomes. Drive alignment across technology, data, and business stakeholders. Full ownership of the Agent Catalog and Agent Design Guide. Codify best practices for agent design, skill modularity, dictionaries, and evaluation. Ensure agents are interoperable, governed, and intentionally architected. Lead LLM and agentic architecture strategy within Snowflake Cortex. Define standards for prompt orchestration, retrieval strategies, context injection, and agent memory. Evaluate and integrate multi-agent frameworks. Prototype and test new agentic architectures and coordination patterns. Drive the methodology for agent development, validation, scaling, and maintenance. Partner with data engineering to connect Cortex agents to enterprise data sources. Use graph structures to model relationships and context memory. Support real-time, event-driven architectures. Embed responsible AI principles into the agent framework. Ensure compliance with data privacy, security, and transparency standards. Partner with legal, data governance, and compliance. Connect technical execution to measurable business value. Communicate complex ideas clearly to executives and cross-functional teams. Build internal literacy around agentic AI concepts and foster an innovation culture.
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