Agentic AI Platform Architect - Reveille Technologies
(1) Familiarity with data security and governance: It is critical in the insurance world and the regulatory framework that we operate in.
(2) Experience with Data privacy: We need to ensure strong guardrails are put in place to avoid (or reduce) using personal data in training agents
(3) Experience with Dynamic Replanning and orchestration: This would be a huge plus. I don't imagine a lot of use cases in Client, to begin with, that require dynamic replanning but experience would be beneficial to build the right long-term architecture.
(4) Experience with MCP: Architect should ensure that it is easy to onboard new tools or frameworks and ensure interoperability.
(5) Strong experience with LLM's
(6) Strong experience in AWS or Google Cloud Platform cloud platforms
(7) Experience with AI observability and monitoring: Internal users need to be able to understand how the AI agent arrived at specific action / outcome. The Platform architect needs to help build the right platform to provide the capability to monitor and potentially intervene in the AI agents.
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