Cyber Security Architect

12 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description


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Role Overview

Cybersecurity Systems Architect

autonomous, explainable, and resilient AI-powered security solutions.


Key Responsibilities

Architecture & System Design

  • Architect the end-to-end

    AI-driven cybersecurity suite

    (SIEM/SOAR/XDR integrations, threat detection, response automation).
  • Define

    system reference architectures

    , security models, and design blueprints for

    agentic AI integration into SOC workflows

    .
  • Ensure scalability, resilience, and compliance of systems across

    cloud, hybrid, and on-prem infrastructures.

  • Lead

    technical evaluations

    of data pipelines, detection models, and response automation frameworks.


Cybersecurity Expertise

  • Provide deep technical expertise in

    threat detection, SOC operations, endpoint protection, IAM, and cloud security.

  • Architect integrations with existing enterprise tools (e.g., CrowdStrike, SentinelOne, Splunk, Palo Alto, Fortinet).
  • Translate real-world

    attack vectors (APTs, zero-days, insider threats)

    into

    defensive AI-driven countermeasures.

  • Evaluate

    security risks of autonomous AI agents

    and design

    guardrails, safety nets, and auditability mechanisms.

  • At least one hyperscaler (AWS, Azure, or GCP)

    cyber security tools required.


AI/ML Integration

  • Partner with data scientists to design

    AI/agentic systems

    that can reason, learn, and adapt (LLMs, anomaly detection, reinforcement learning).
  • Architect

    data pipelines

    for ingesting telemetry at scale (logs, EDR, NDR, cloud telemetry).
  • Define standards for

    explainability and transparency

    of AI-driven remediation decisions.


Leadership & Mentorship

  • Act as the

    technical authority

    for all cybersecurity system design decisions.
  • Mentor engineers and product managers on security best practices and architectural principles.
  • Collaborate cross-functionally with

    AI researchers, product managers, and customer-facing teams

    .


Qualifications

Education / Background

  • Bachelor’s or Master’s in

    Computer Science, Cybersecurity, or Systems Engineering

    .
  • 10–12+ years in

    enterprise cybersecurity architecture, SOC design, or advanced security engineering

    .


Core Expertise

  • Security Architecture:

    Strong knowledge of SIEM, SOAR, XDR, EDR, IAM, CASB, Zero Trust, and cloud security architectures.
  • System Design:

    Large-scale distributed systems, high-throughput data pipelines, secure integrations.
  • Threat Landscape:

    Deep familiarity with adversary tactics (MITRE ATT&CK), advanced persistent threats, and red-team/blue-team scenarios.


AI & Automation

  • Hands-on understanding of

    AI/ML frameworks

    (LLMs, RLHF, anomaly detection, autonomous agents).
  • Experience with

    security automation frameworks

    (SOAR, orchestration pipelines, playbooks).
  • Strong interest or experience in

    agentic AI applied to cybersecurity

    .


Certifications (Preferred)

  • CISSP, CISM, or SABSA (Enterprise Security Architecture).
  • Cloud Security certifications (AWS Security, Azure Security Architect, GCP Professional Cloud Security Engineer).
  • Offensive/Defensive certs (OSCP, CEH, GIAC) a plus.

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