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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior AI Engineer - **Company:** OpenKyber LLC - **Location:** United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Architectural Patterns, Microsoft Azure, Cloud Computing Security, Cyber Security, Database Security, Key Management, Open Web Application Security, Azure Active Directory, Zero Trust Network Access, Azure Machine Learning, Systems Integration, Data Logging, Large Language Models, AI Platforms, Deployment Automation, Bicep, Virtual Agents, Terraform, Devsecops, Security Orchestration, Automation & Response - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=aa7c3224c1ecffa4 ## About the Role * 8+ years of experience in Cloud Security Architecture with strong Azure platform expertise * Hands-on experience with Azure AI Services, Azure OpenAI, or similar AI platforms * Strong expertise with Microsoft Entra ID, Service Principals, and Managed Identities * Experience with Model Context Protocol (MCP) and context isolation strategies * Deep understanding of RAG architectures and vector database security * Experience implementing Zero Trust security models in enterprise cloud environments * Familiarity with OWASP Top 10 for LLMs and AI security risk mitigation Nice to Have : * Experience with Infrastructure as Code (Terraform or Bicep) * Security automation and DevSecOps experience * Certifications such as Azure Security Engineer Associate, Azure AI Engineer Associate, CISSP, or CCSP ## Description We are seeking a Security Architect / AI Security AppSec Architect to assist in the strategic evaluation and secure implementation of an enterprise AI Agent Framework . As AI adoption accelerates across investment and research teams, this role will ensure that AI platforms and agent-based systems remain secure, resilient, and compliant . This role combines high-level architectural oversight with hands-on engineering , focusing on evaluating emerging AI technologies, defining security controls, and establishing governance standards for AI agents built on modern cloud platforms. Primary Responsibilities: * Technology Evaluation & Security Architecture Evaluate new AI tools, frameworks, and LLM providers to assess their security posture for regulated environments * Design secure architectural patterns for AI agent integrations , ensuring data privacy and IP protection * Conduct AI-specific threat modeling (prompt injection, model inversion, data poisoning) and implement mitigations * Assess security capabilities of Azure AI platforms, Copilot agents, and Graph-based integrations against enterprise compliance standards * Evaluate Model Context Protocol (MCP) security best practices and design context isolation strategies * Participate in enterprise architecture security reviews for emerging technologies Technical Implementation & Validation: * Develop hardening standards and configuration guidelines for AI platforms * Implement and validate integrations with Azure Key Vault, Entra ID, and Managed Identities * Establish security telemetry, monitoring, logging, and auditing for AI agents and autonomous workflows Governance & Standards Development : * Define AI Agent Security Design Principles and architecture standards * Contribute to AI governance policies addressing risks of emerging AI technologies * Identify and close security gaps within CI/CD pipelines for AI deployments * Translate complex security architecture into actionable guidance for engineering teams ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)