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Platform Engineer – Memory Retention & Compliance

Intellias·Salary not specified

Primary stack

AWSCompliance

Nice to have's

AWS AgentCore Memory retention configurationPrivacy engineering for AI systemsAudit trail and compliance loggingCross-region data residency requirements

Job description

About the Position

We are looking for a Platform Engineer to design and implement memory retention and compliance capabilities for an enterprise AI Agent Platform being built from the ground up.

The role will focus on ensuring that agent memory is managed throughout its lifecycle in accordance with privacy, data retention, and compliance requirements, including automated expiration, user-driven deletion, data classification, and auditable cleanup processes.

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 supporting 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 when required.
  • Establish memory data-classification rules, including sensitivity levels, encryption requirements, and retention periods.
  • Ensure appropriate 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.

Requirements

Skills:

  • Agent memory retention policies - TTL configuration, episodic memory expiration, summary memory lifecycle
  • GDPR compliance for agent memory - user deletion handler, right to erasure, audit trail
  • AWS AgentCore Memory configuration - TTL settings, namespace policies, access controls
  • Memory data classification - determine sensitivity, encryption requirements, retention periods
  • Agent memory cleanup - automated expiration, manual purge procedures

Experience:

  • 4+ years platform or compliance engineering
  • Data retention policy implementation
  • GDPR/privacy compliance for user data
  • 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

We Offer

  • Opportunity to work on a cutting-edge AI Agent Platform
  • Collaborative environment with a focus on innovation
  • Professional growth and development opportunities
  • Competitive compensation package

About the Company

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

© Intellias. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

The company develops projects in IoT, Artificial Intelligence, Data Science, UX/UI, Big Data, Cloud, DevOps, and other technologies.

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