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Application Security Architect – AI / GenAI

TECHNEPTUNE CONSULTING INCNew York, NY🇺🇸United StatesPosted 18 Aug 2026

Why This Role Stands Out

Shape the future of AI security by designing and implementing robust application security architectures in a hybrid environment that fosters innovation and professional growth. You'll thrive here if you're a mid-senior professional passionate about DevSecOps, cloud security, and the cutting edge of AI/GenAI, ready to make a significant impact. Apply today to join a forward-thinking team and advance your career in this dynamic field.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title:  Application Security Architect – AI / GenAI

Location:  NYC / NJC – Hybrid

Job Type:  Fulltime

 

Role Overview

We are looking for an Application Security Architect with strong experience in Application Security, DevSecOps, Cloud Security, and AI/GenAI security. The role will focus on securing enterprise applications, APIs, microservices, and AI-powered applications.

Key Responsibilities

  • Design and implement application security architecture across applications, APIs, and microservices.
  • Perform threat modeling, security reviews, and vulnerability assessments.
  • Embed security into the SDLC and CI/CD pipelines using SAST, DAST, SCA, and other security tools.
  • Ensure secure coding practices aligned with OWASP Top 10 and API Security.
  • Secure cloud-native applications across AWS/Google Cloud Platform, Kubernetes, and containers.
  • Define security controls for GenAI, LLM, RAG, and Agentic AI applications.
  • Address AI security risks such as prompt injection, data leakage, insecure outputs, and excessive agency.
  • Implement IAM, authentication, authorization, encryption, Policy-as-Code, and Identity-as-Code.
  • Partner with engineering and security teams to drive security-by-design.

Required Skills

  • 12+ years of experience in Application Security / Security Architecture.
  • Strong knowledge of OWASP, Threat Modeling, Secure SDLC, API Security, SAST/DAST/SCA.
  • Experience with AWS/Google Cloud Platform, Kubernetes, Docker, CI/CD, Terraform.
  • Strong understanding of OAuth2, OIDC, JWT, IAM, RBAC/ABAC.
  • Experience with GenAI/LLM, RAG, Agentic AI, or AI Security.
  • Knowledge of LangChain/LangGraph, vector databases, and AI security controls is a plus.
  • Strong communication and stakeholder management skills.

Skills

Docker
Microservices
AWS
Encryption
OWASP
Google Cloud
JWT
Kubernetes
LLM
Stakeholder Management
Terraform

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