▷ Urgent: Cyber Security Architect

Job Description

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.
- 1012+ 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.