platform engineer for AI agents

The project is building an enterprise-grade AI Agent Platform from the ground up. The platform provides a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.

• Design and implement retention policies for agent memory, including expiration and lifecycle rules for different memory types;
• Configure and manage AWS AgentCore Memory capabilities for memory lifecycle management;
• Implement automated memory expiration and cleanup workflows based on defined retention policies;
• Build user deletion and right-to-erasure mechanisms to support GDPR and privacy requirements;
• Define and implement manual purge procedures for agent memory;
• Establish memory data-classification rules, including sensitivity levels, encryption requirements, and retention periods;
• Ensure namespace isolation and access-control patterns for memory data;
• Maintain audit trails and compliance logging for memory lifecycle and deletion operations;
• Support retention strategies for episodic, summary, and other long-term agent memory;
• Implement controls supporting data residency and cross-region compliance requirements;
• Collaborate with security, platform, and governance teams to establish privacy and retention standards for AI agents.

• 4+ Years of platform or compliance engineering experience;
• Experience implementing data retention policies;
• Experience with GDPR and privacy compliance for user data;
• Experience with TTL and lifecycle management for cloud storage;
• Nice to have: AWS AgentCore Memory retention configuration, privacy engineering for AI systems, audit trail and compliance logging, cross-region data residency requirements.

• Remote work is available in Bulgaria, Croatia, Egypt, Poland, Portugal, Spain, and Ukraine;
• Equal opportunity employment with a commitment to equity, diversity, and inclusion.