NOW HIRING: APPLICATION SECURITY ARCHITECT AI / GENAI Client: S&P Global

Location: NYC / NJC Hybrid

Employment Type: Full-Time / FTE

Experience: 15+ Years Work Authorization: Visa Independent Candidates Only Role Overview 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.

Key Responsibilities

• 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.

Required Skills

• 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.

AI / GenAI Security Expertise

• 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.

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