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Application Security Architect AI

Job in Princeton, Mercer County, New Jersey, 08540, USA
Listing for: Futran Tech Solutions Pvt. Ltd.
Full Time, Seasonal/Temporary position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Cybersecurity, IT Consultant, Information Security
Job Description & How to Apply Below
Position: Application Security Architect with AI

Application Security Architect With AI

Location:

Princeton NJ – Onsite only

Duration:
Contract/Full Time

Job Summary

Core:
Application Security and Vulnerability Management

Role:
Senior Security Consultant (Application Security & AI Governance). Advising enterprise clients on modern App Sec, AI/LLM risk mitigation, and risk-based vulnerability management.

Core Responsibilities
  • App Sec Assessments:
    Evaluate client software practices using BSIMM or OWASP SAMM to build maturity roadmaps.
  • Threat Modeling:
    Conduct architectural risk assessments and threat modeling workshops for client engineering teams.
  • Dev Sec Ops  Pipelines:
    Guide clients on embedding automated security tools (SAST, DAST, SCA) into CI/CD workflows.
  • AI Threat Profiling:
    Assess risks unique to GenAI, LLMs, and agentic integrations using frameworks like the OWASP Top 10 for LLMs.
  • AI Defenses:
    Design architectural guardrails to prevent prompt injection, data poisoning, and unauthorized data leakage.
  • AI Governance:
    Author enterprise policies, risk frameworks, and data privacy controls for corporate AI use.
  • Program Modernization:
    Redesign client vulnerability management workflows to shift them from reactive scanning to proactive orchestration.
  • Risk Prioritization:
    Establish triage systems utilizing CVSS and EPSS metrics so clients fix high-risk flaws first.
  • Tool Selection:
    Act as an independent advisor to help clients select and optimize App Sec Posture Management (ASPM) tools.
  • Client Deliverables:
    Produce executive-ready risk reports, technical blueprints, and developer remediation playbooks.
Required Technical Skills
  • App Sec Tooling:
    Hands-on experience with enterprise suites like Snyk, Checkmarx, GHAS, Wiz, or Veracode.
  • AI Ecosystems:
    Understanding of vector database security, AI orchestration frameworks (Lang Chain), and API security.
  • Cloud Architecture:
    Security proficiency across major cloud-native infrastructures (AWS, Azure, or GCP).
  • Standards & Frameworks:
    Deep knowledge of OWASP Top 10, ASVS, NIST SSDF, and ISO 27034.
Experience & Qualifications
  • Experience:

    cybersecurity consulting, application security engineering. Vulnerability Management, AI Security
  • Education:

    Bachelor’s degree in Cybersecurity, Computer Science, or equivalent practical experience.
  • Certifications:

    CISSP, CSSLP, CCSP, CISA, or specialized AI security credentials preferred.
  • Consulting

    Skills:

    Strong presentation skills to communicate technical risks to both developers and C-level executives.
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