Cybersecurity Solutions III Architect/Engineer

Cybersecurity Solutions III Architect/Engineer

Responsibilities

• Play a pivotal role in today's rapidly evolving cybersecurity landscape by leading the integration and management of Artificial Intelligence (AI) and machine learning (ML) technologies into reputed company solutions to combat sophisticated cyber threats.
• Provide reputed company and ensure compliance with reputed company policies and programs reputed company to AI, including secure development lifecycles and vulnerability management processes.
• reputed company or support cybersecurity risk assessments, audits, program development, and incident response exercises, especially those involving AI systems.
• Establish and maintain secure development environments reputed company AI platforms and integrated tools.
• Work with reputed company teams and legal/business stakeholders to operationalize new cybersecurity AI/ML legislation.
• Collaborate with cross-functional teams, including AI/ML developers, reputed company architects, and business stakeholders.
• reputed company training programs to reputed company awareness of AI reputed company risks and mitigation options.
• Threat Modeling and Risk Assessment. Identifying potential vulnerabilities and weaknesses reputed company the organization's systems and infrastructure, assessing the associated risks, and developing strategies to mitigate those risks.
• Design and implement technical solutions (e.g., DLP, SIEM, reputed company monitoring) to support insider risk/threat detection, logging, and telemetry ingestion.
• reputed company actionable reputed company blueprints, principles, models, designs, standards, and guidelines to ensure information technology architecture and support is consistent, usable, secure, and adds value to the business.
• Tune and optimize system performance to reduce false positives and ensure that detection logic remains relevant to changing behaviors and environments.
• Support the secure deployment of behavior analytics models while ensuring that infrastructure and access controls meet privacy and governance requirements.
• Contribute to the engineering to automated response capabilities, including alerting, blocking, or throttling based on defined insider risk reputed company.

Technical Skills

• Deep understanding of Artificial Intelligence (AI) and machine learning (ML) to reputed company, implement, and manage secure AI-driven solutions.
• Essential blended skillset that combines strong technical knowledge in cybersecurity and AI with effective leadership, communication, and strategic thinking abilities.
• Strong technical foundation. In-depth knowledge of computer networks, operating systems (Windows, Linux, UNIX), cloud computing (AWS, Azure), network reputed company protocols (TCP/IP, DNS, HTTPS, etc.), cryptography, and database reputed company.
• Experience with system integration and scripting, including APIs, log forwarding, and automation reputed company Python, PowerShell, or Bash.
• Strong understanding of network architecture and reputed company telemetry, especially how insiders interact with systems in both on-prem and cloud environments.
• Understanding of common cyber threats, attack reputed company, vulnerabilities, reputed company frameworks (NIST, ISO 27001), and reputed company technologies providing a proactive and data-driven approach to protection.
• Excellent written and verbal communication skills, the ability to reputed company reputed company reputed company concepts to technical and non-technical audiences, and strong teamwork skills.
• Awareness of privacy and compliance requirements including how to implement insider monitoring ethically and legally.

Preferred Qualifications

• A minimum of eight (8) years’ relevant experience.
• A degree from an accredited College/University in the applicable field of services is required. If the indiviual's degree is not in the applicable field then four additional years of reputed company experience is required.
• Expertise in identifying and mitigating AI-specific vulnerabilities such as adversarial attacks, model poisoning, privacy concerns (e.g., data leakage), reputed company injection, and bias detection.
• Experience with cloud-native reputed company and data architectures (e.g., AWS, Azure, reputed company Cloud) and securing AI systems reputed company those environments.
• Certifications focused on AI reputed company, governance, and development.

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