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# SECURITY ARCHITECT - AI / GENAI

- **Company:** Sidram Technologies
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Cloud Computing Security, Cyber Security, Continuous Integration, Information Leak Prevention, Identity and Access Management, Industry Standard Architecture, OAuth, OpenID, Open Web Application Security, Systems Development Life Cycle, Role-Based Access Control, JSON Web Token, Policy as Code, Google Cloud, Enterprise Software Applications, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Software Security, Generative AI, Agentic-AI, Kubernetes, Terraform, Devsecops, Docker, Static Application Security Testing, Vulnerability Analysis, Microservices, Dynamic Application Security Testing
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_6e7ade2d3756e3efadac12fee5dfd59e

## About the Role

We are seeking an experienced Application Security Architect AI / GenAI with strong expertise in Application Security, Security Architecture, DevSecOps, Cloud Security, and AI/GenAI Security. The role will focus on securing enterprise applications, APIs, microservices, cloud-native platforms, and AI-powered applications while driving security-by-design across the organization., * 15+ years of experience in Application Security, Security Architecture, or related cybersecurity domains.

 * Strong expertise in:
 + Application Security
 + OWASP Top 10
 + Threat Modeling
 + Secure SDLC
 + API Security
 + SAST / DAST / SCA
 * Hands-on experience with AWS/GCP, Kubernetes, Docker, CI/CD, and Terraform.
 * Strong understanding of OAuth2, OIDC, JWT, IAM, RBAC, and ABAC.
 * Experience with GenAI / LLM / RAG / Agentic AI / AI Security.
 * Knowledge of LangChain / LangGraph, vector databases, and AI security controls is a plus.
 * Strong communication, architecture, and stakeholder management skills.

## Description

* Design and implement application security architecture across enterprise applications, APIs, and microservices.
 * Conduct threat modeling, security reviews, and vulnerability assessments.
 * Embed security throughout the SDLC and CI/CD pipelines using SAST, DAST, SCA, and related security tools.
 * Establish secure coding practices aligned with OWASP Top 10 and API Security standards.
 * Secure cloud-native applications across AWS/GCP, Kubernetes, and container environments.
 * Define security controls for GenAI, LLM, RAG, and Agentic AI applications.
 * Address AI security risks including prompt injection, data leakage, insecure outputs, and excessive agency.
 * Implement IAM, authentication, authorization, encryption, Policy-as-Code, and Identity-as-Code.
 * Partner with engineering, architecture, and security teams to establish security-by-design practices.
 * Drive application security standards, controls, and architectural best practices across enterprise platforms., * Secure LLM and GenAI applications.
 * Implement controls for RAG pipelines and Agentic AI workflows.
 * Identify and mitigate prompt injection and data leakage risks.
 * Establish guardrails for AI-generated outputs.
 * Address excessive agency and unauthorized AI actions.
 * Secure AI data, models, APIs, and supporting infrastructure.