Principal Agentic AI Architect
3 days ago
Indianapolis
Job DescriptionJoin a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. Join Us from Anywhere While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: · Flexible Time Off to recharge when needed · Nine Company-Wide Holidays · A diverse suite of benefits prioritizing your growth, development, and personal well-being Discover more about our perks and benefits here. Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. About the team and what we'll build together We are seeking a Principal Agentic AI Architect to define, prototype, and operationalize our approach to agentic AI at scale. This leader will own the Agent Catalog and Agent Design Guide — defining how agents are designed, governed, deployed, and evolved within our Snowflake Cortex ecosystem. As the connective tissue between innovation and execution, this role will ensure our AI strategy translates into a clear, intentional, and executable roadmap. You will establish the frameworks, tools, and methodologies that allow multi-agent systems to operate safely, efficiently, and at scale. How you will make an impact • Strategy Execution & Roadmap:, • 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., • Agent Catalog & Design Guide Ownership:, • 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., • LLM & Snowflake Cortex Integration:, • 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., • Prototyping & Approach Ownership:, • Prototype and test new agentic architectures and coordination patterns., • Drive the methodology for how agents are developed, validated, scaled, and maintained., • Move concepts quickly from proof-of-concept → pilot → production., • Data & Technical Foundations:, • Partner with data engineering to connect Cortex agents to trusted enterprise data sources., • Use graph structures where appropriate to model relationships and context memory., • Support real-time, event-driven architectures for adaptive and responsive agent behavior., • Governance & Responsible AI:, • Embed responsible AI principles into every layer of the agent framework., • Ensure compliance with data privacy, security, and transparency standards., • Partner with legal, data governance, and compliance to ensure traceability and auditability., • Commercial & Organizational Alignment:, • Connect technical execution to measurable business value (growth, efficiency, CX)., • Communicate complex ideas clearly to executives and cross-functional teams., • Build internal literacy around agentic AI concepts and foster an innovation culture.What you need to be successful, • 10+ years in AI, data platforms, or emerging tech leadership roles., • 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), • 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., • Success in This Role Means:, • A structured, actionable roadmap for scaling agentic AI aligned to business priorities., • A governed, well-documented Agent Catalog and Design Guide serving as the foundation for consistent agent development., • Validated multi-agent frameworks operating within Snowflake Cortex., • Measurable impact through production AI systems that drive business outcomes.