Cyber Security Architect
16 hours ago
Job Description: Cybersecurity Systems Architect – AI-Driven Security Platforms
Location:
Hyderabad
Department:
Architecture & Engineering
Reports to:
CTO / Head of Engineering
Role Overview
We are looking for a
Cybersecurity Systems Architect
with deep expertise in
security infrastructure, enterprise defense systems, and advanced AI/ML technologies.
This role is hands-on and highly technical — you will be responsible for
designing and architecting next-generation cyber defense platforms
that leverage
AI agents, reasoning systems, and autonomous remediation workflows.
The ideal candidate has extensive experience in building and scaling enterprise-grade security systems (SIEM, SOAR, XDR, IAM, Cloud Security) and can work closely with AI/ML teams to create
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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