We are looking for a Platform Engineer to design and automate agent lifecycle and archival capabilities for an enterprise AI Agent Platform being built from the ground up.
The role will focus on managing the complete lifecycle of agent versions after deployment, including decommissioning, retention, archival, cleanup, and recovery, while ensuring historical versions remain available when required for audit, compliance, or incident investigation.
About the Client
Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business.
About the Project
The project is focused on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.
The initiative covers the full agent lifecycle and brings together agent orchestration, observability, security, governance, integrations, evaluation, and platform engineering. Engineers joining the project will have an opportunity to influence key architectural and technical decisions and contribute to a new platform rather than maintaining an existing solution.
Skills:
• Agent decommissioning process — deprecation workflow, retirement lifecycle, version removal procedures
• Agent version archiving — ECR lifecycle policies, retention policies, S3 archival for old agent versions
• Agent version recovery — restore archived agent versions for compliance, audit, or incident investigation
• Agent version cleanup — automated removal of deprecated versions while preserving audit trail
• AWS ECR lifecycle policies for agent images — move old versions to cheaper storage, eventual deletion
• Agent Registry decommission tracking — mark versions as deprecated/retired, maintain historical records
Experience:
• 4+ years platform or cloud engineering
• Artifact lifecycle management and retention policies
• Compliance-driven data archival and retention (audit trail preservation)
• ECR lifecycle policies and cost optimization
Nice to have:
• AWS S3 Glacier for long-term agent version archival
• Compliance requirements for AI system versioning (audit, investigation)
• Agent version snapshot and recovery automation
• Cross-region agent version replication for DR
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.