devops engineer for enterprise AI agents

HireHi; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Well-being benefits

Professional growth opportunities

Job summary

Intellias ищет специалиста DevOps/платформенной инженерии для разработки и поддержки CI/CD процессов AI-агентов. Вы будете настраивать конвейеры, создавать ARM64 образы и публиковать их в AWS ECR, следя за безопасностью и версионированием AgentCore Runtime.

Задачи включают интеграцию Agent Registry, управление метаданными версий и обеспечение полной трассируемости между исходным кодом, артефактами и версиями агентов.

Qualifications

• 4+ лет опыта DevOps/платформенной инженерии с AI/ML пайплайнами.
• Опыт реализации CI/CD для контейнеризованных AI-агентов или ML-моделей.
• Опыт работы с реестрами контейнеров и стратегиями тегирования.
• Опыт внедрения сканирования безопасности в CI/CD (уязвимости, секреты, комплаенс).
• Навыки сборки ARM64 образов агентов, сканирования безопасности, публикации в ECR и версионирования AgentCore Runtime.
• Опыт интеграции Agent Registry с метаданными версий агентов (Git SHA, результаты проверки, статус продвижения).
• Опыт работы с GitHub Actions для матричных сборок и агентских сканирований безопасности.
• Опыт AWS ECR, семантического версионирования тегов и Git SHA тегов для трассируемости.
• Опыт определения схем метаданных версий агентов (version ID, container digest, временные метки, результаты оценки, привязки инструментов/политик).
• Желательно: управление конечной точкой AWS AgentCore Runtime, интеграция evaluation gate, GitOps-подходы для агентов, LangChain/ LangGraph упаковка и развёртывание.

Responsibilities

• Design and implement CI/CD pipelines for AI agents, including ARM64 builds and security scanning.
• Build GitHub Actions workflows supporting matrix builds and agent-specific validation.
• Integrate CI/CD pipelines with the Agent Registry to register agent versions and metadata.
• Maintain version metadata: Git SHA, container digest, timestamps, evaluation results, promotion status, and tool/policy bindings.
• Manage agent container images in AWS ECR with semantic version tags and Git SHA traceability.
• Integrate security scanning for vulnerabilities, secrets, compliance in CI/CD pipelines.
• Implement evaluation gates to prevent promotion of failing agent versions.
• Support reliable multi-environment promotion and deployment workflows for agent versions.
• Maintain traceability between source, artifacts, evaluation results, registry entries and deployed versions.

Skills

CI/CD pipelines

Containerization

ARM64

Security scanning

AWS ECR

GitHub Actions

Version metadata

Git SHA tagging

Tools

AWS ECR

Agent Registry

Container registries

Security tooling

GitHub Actions

Job description

Описание

Intellias is a technology company delivering digital transformation and innovation solutions across multiple markets. The project focuses on an enterprise-grade AI Agent Platform for developing, deploying, orchestrating, securing, and observing AI agents across teams and use cases.

Задачи

• Design and implement CI/CD pipelines for AI agents, including ARM64 container builds, security scanning, ECR publishing, and AgentCore Runtime version creation
• Build GitHub Actions workflows supporting matrix builds and automated agent-specific validation
• Integrate CI/CD pipelines with the Agent Registry to automatically register agent versions and associated metadata
• Implement and maintain version metadata, including Git SHA, container digest, timestamps, evaluation results, promotion status, and tool/policy bindings
• Manage agent container images in AWS ECR, including semantic version tags and Git SHA-based traceability
• Integrate security scanning into CI/CD pipelines for vulnerabilities, secrets, compliance, and agent-specific risks
• Implement evaluation gates to prevent promotion of agent versions that fail required quality checks
• Support reliable multi-environment promotion and deployment workflows for agent versions
• Maintain traceability between source code, container artifacts, evaluation results, registry entries, and deployed agent versions

Требования

• 4+ Years of experience in DevOps or platform engineering with AI/ML pipelines
• Experience implementing CI/CD pipelines for containerized AI agents or ML models
• Experience managing container registries and tagging strategies
• Experience with security scanning in CI/CD, including vulnerabilities, secrets, and compliance
• Skills in building ARM64 agent containers, security scanning, pushing to ECR, and triggering AgentCore Runtime version creation
• Experience integrating Agent Registry with agent version metadata, including Git SHA, evaluation pass/fail, and promotion status
• Experience with GitHub Actions for matrix builds and agent-specific security scans, including prompt injection and PII leakage
• Experience with AWS ECR, semantic versioning tags, and Git SHA tags for traceability
• Experience defining agent version metadata schemas, including version ID, container digest, timestamp, evaluation results, and tool/policy bindings
• Nice to have: AWS AgentCore Runtime endpoint management API, agent evaluation gate integration, GitOps promotion patterns for agents, LangChain/LangGraph agent packaging and deployment

Условия

• Intellias offers benefits supporting employee well-being and professional growth
• Equal opportunity employment with a commitment to equity, diversity, and inclusion