platform engineer for AI agents

HireHi; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

HireHi is building an enterprise-grade AI Agent Platform focused on memory management, retention, and privacy. You will implement expiration rules for different memory types, configure AWS AgentCore Memory, and automate memory cleanup workflows.

The role covers GDPR compliance, user deletion, and data-classification policies across regional data residency requirements. Ideal candidates have 4+ years in platform or compliance engineering, experience with GDPR/privacy, and familiarity with TTL and

Qualifications

• Requires 4+ years of platform or compliance engineering experience.
• Experience implementing data retention policies.
• Experience with GDPR and privacy compliance for user data.

Responsibilities

• 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 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.

Skills

Memory lifecycle management

Privacy engineering

Audit trails

Cross-region data residency

Cloud storage TTL

Tools

AWS AgentCore Memory

Job description

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.