Описание
We are seeking a Senior Platform Engineer to own agent memory retention policies, TTL configuration, and GDPR compliance within our Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. This platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, spanning agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability, reducing agent development from months to days while enforcing consistent security, quality, and governance standards.
Responsibilities
Define and maintain agent memory retention policies, including TTL configuration, episodic memory expiration, and summary memory lifecycle Ensure GDPR compliance for agent memory systems, including user deletion handlers, right to erasure processes, and audit trail maintenance Configure AWS AgentCore Memory settings, including TTL parameters, namespace policies, and access controls Classify memory data according to sensitivity, encryption requirements, and retention periods Manage agent memory cleanup processes, including automated expiration and manual purge procedures Collaborate with engineering teams to embed compliance and governance standards into agent development workflows Monitor and audit memory retention practices to ensure alignment with regulatory requirements Requir
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