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Job Title: AI Staff Security Engineer

Richardson, TX

Remote Work 100%

Role Responsibilities

Development & Enforcement

• Incorporate AI/ML technologies into security frameworks to enhance threat detection, automate security processes, and improve incident response capabilities.
• Develop and enforce engineering security policies and standards.
• Develop and enforce data security policies and standards.
• Drive security awareness across the organization.
• Lead the development and enforcement of comprehensive security policies and standards, integrating advanced security practices throughout the software development lifecycle to mitigate risks and align with industry-leading security protocols.

Collaboration & Expertise

• Work with data scientists and machine learning engineers to implement AI-driven security solutions that proactively identify vulnerabilities and anomalies in real-time.
• Collaborate with Engineering and Business teams to develop secure engineering practices.
• Act as a pivotal security leader, driving the integration of secure engineering practices across the organization while liaising with senior management to ensure a cohesive security strategy that aligns with business objectives.

Analysis & Configuration

• Work with data scientists and machine learning engineers to implement AI-driven security solutions that proactively identify vulnerabilities and anomalies in real-time.
• Analyze, develop, and configure security solutions across multi-cloud, on-premises, and colocation environments, ensuring application security, integrity, confidentiality, and availability of data.
• Lead security testing, vulnerability analysis, and documentation.
• Spearhead the evaluation and strategic deployment of cutting-edge security solutions, emphasizing scalability, performance, and adaptability, to fortify the organization's defense against evolving threats.

Operational Support

• Work with data scientists and machine learning engineers to implement AI-driven security solutions that proactively identify vulnerabilities and anomalies in real-time.
• Participate in operational on-call duties to support a 24/7 infrastructure across multiple regions and environments (cloud, on-premises, colocation).
• Lead by example in incident response situations, orchestrating rapid and effective responses while leveraging these experiences to bolster future resilience and response strategies.

Mentorship and Training

• Provide training on AI/ML security applications and best practices, ensuring the team is equipped to leverage these technologies effectively.
• Demonstrated leadership skills with developing a comprehensive mentorship program for junior engineers, including organizing regular training sessions to elevate the team's technical and security skills. This role requires a commitment to fostering a culture of continuous improvement and knowledge sharing.

Innovation and Research

• Research and evaluate emerging AI/ML technologies that can be applied to enhance security measures, staying ahead of potential threats and vulnerabilities.
• Proven track record with participation in security research and the exploration of next-generation security tools and practices. This includes encouraging the team to engage with the wider security community, contributing to open-source projects, and staying well-informed of emerging threats and innovative defense mechanisms.

Strategic Planning

• Incorporate AI/ML considerations into the security roadmap, ensuring that the organization is prepared to adopt and integrate these technologies as part of its long-term security strategy.
• Play a key role in the strategic planning of the organization's security roadmap, including conducting thorough risk assessments, allocating budgets for security initiatives, and aligning long-term security strategies with overarching business goals. This responsibility includes advocating for security within the company and ensuring that security considerations are paramount in all technology decisions.

Basic Qualifications

• 7+ years of experience in developing and deploying security technologies.
• 5+ Years of lead experience in Cloud, Java applications with automation knowledge.
• 3+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior and provide context to security analysts to drive business decisions.
• 3+ years of experience in AI/ML
• 3+ years of programming experience using Python, pyTorch, and analytics platforms on various big data platforms, with knowledge of advanced analytics tools to analyze large datasets from various sources.
• Hands-on experience with LLMs and Deep Neural Network architectures, along with SQL expertise.
• Proficiency in Public Cloud (AWS/Azure/GCP) & Network Security.
• Strong experience with implementing and managing data protection measures and compliance with data protection regulations (e.g., GDPR, CCPA).
• Proven track record in leading security initiatives from inception through to successful deployment, demonstrating exceptional project management skills and the ability to navigate complex stakeholder landscapes.

Preferred Qualifications

• Strong technical expertise with Architecting Public Cloud solutions and processes.
• Strong technical expertise with Networking and Software-Defined Networking (SDN) principles.
• Strong technical expertise with developing and interpreting Network, Sequence, and Dataflow diagrams.
• Experience with direct, remote, and virtual teams.
• Understanding of at least one compliance framework (HIPAA, HITRUST, PCI, NIST, CSA).
• Strong technical expertise with security solutions for data warehouses and big data platforms, particularly with technologies like Snowflake.
• Strong technical expertise in defining and implementing cyber resilience standards, policies, and programs for distributed cloud and network infrastructure, ensuring robust redundancy and system reliability.
• Experience in influencing industry security standards and contributing to open-source projects or security communities, highlighting a broader impact beyond the immediate organization.

Education

• A minimum of a Bachelor's degree in Computer Science, Software Development, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience is required.