Job Title: Solutions Architect - Cyber Security

Job Summary

Neurealm is seeking a visionary Cybersecurity Solutions Architect to design and build our next-generation security ecosystem. In this role, you will be the primary technical authority responsible for architecting robust defenses across our core infrastructure and diverse endpoints. Furthermore, you will lead our data protection strategies through advanced DLP and cryptography, while spearheading the integration of AI and Machine Learning (AI/ML) to automate threat detection and response. You will translate complex business requirements into scalable, resilient, and forward-looking security architectures.

Key Responsibilities

1. Infrastructure & Cloud Security Architecture

Design and implement comprehensive security architectures across on-premises, hybrid, and multi-cloud environments (e.g., AWS, Azure, GCP).

Architect Zero Trust Network Access (ZTNA) models, micro-segmentation, and advanced firewall strategies (NGFW, WAF).

Ensure secure network design, including robust routing, secure access service edge (SASE), and secure API gateways.

2. Endpoint Security Strategy

Architect and oversee the deployment of advanced Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) solutions.

Design Unified Endpoint Management (UEM) and Mobile Device Management (MDM) frameworks to secure a distributed/remote workforce.

Establish baseline security configurations and automated remediation workflows for all corporate devices and servers.

3. Data Protection: DLP & Encryption

Design and implement enterprise-wide Data Loss Prevention (DLP) solutions to monitor and protect sensitive data across endpoints, networks, and cloud applications.

Architect robust cryptographic frameworks, managing encryption protocols for data at rest, in transit, and in use.

Oversee Public Key Infrastructure (PKI), Key Management Systems (KMS), and Hardware Security Modules (HSM) to ensure ironclad identity and data integrity.

4. AI/ML Security Integration & Defense

Evaluate, design, and integrate AI/ML-driven security tools (e.g., AI-enhanced SIEM/SOAR, User and Entity Behavior Analytics - UEBA) to proactively hunt and mitigate advanced persistent threats.

Develop architectural guidelines for securing internal AI/ML pipelines and Large Language Models (LLMs) against prompt injection, data poisoning, and model inversion attacks.

Leverage automation and machine learning models to reduce alert fatigue in the SOC and streamline incident response runbooks.

5. Governance & Cross-Functional Leadership

Conduct rigorous threat modeling and architectural risk assessments for new business initiatives.

Partner with engineering, data science, and infrastructure teams to embed security-by-design principles into all projects.

Ensure all architectural designs comply with regulatory mandates (e.g., GDPR, HIPAA, PCI-DSS) and industry frameworks (NIST, CIS).

Required Qualifications:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Information Technology, or a related technical field.
• 8+ years of progressive experience in Information Security and IT infrastructure.
• 3+ years of experience in an Enterprise Security Architecture role with a proven track record of deploying complex, multi-domain security solutions.
• Industry Certifications
• Must hold advanced security certifications such as CISSP, ISSAP, or CISM.
• Certifications in cloud security (e.g., AWS Certified Security, CCSP) or AI/data science fundamentals are highly desirable.

Technical Skills Profile

• Infrastructure: Deep expertise in SASE, ZTNA, IPS/IDS, SD-WAN security, and container orchestration security (Kubernetes/Docker).
• Endpoint: Hands-on architectural experience with platforms like CrowdStrike, SentinelOne, or Microsoft Defender.
• Data & Cryptography: Advanced knowledge of enterprise DLP platforms (e.g., Symantec, Forcepoint, Microsoft Purview), RSA/AES encryption standards, and enterprise key management.
• AI/ML: Understanding of AI/ML concepts, experience with behavior-based threat detection, and knowledge of frameworks like MITRE ATLAS (Adversarial Threat Landscape for AI Systems).

Soft Skills

• Strategic thinker with the ability to balance strict security requirements with business agility.
• Excellent technical writing and diagramming skills.
• Strong communication skills, capable of presenting complex AI and cryptographic concepts to non-technical executives.