AI Staff Security Engineer

• Lead the development and integration if AL/ML models and automated testing frameworks across both modern and legacy tech stacks.
• Adopt the design, development, and optimization of AI/ML models for a variety of security use cases.
• Perform model training, evaluation, and fine-tuning while considering the constraints and opportunities posed by legacy architectures.
• Partner with teams and serve as cross-functional expert to provide bench-marked solutions to multiple, complex technical projects/initiatives using multiple interlocking technologies.
• Ramp up fast to gather multiple domain knowledge and build inherent subject matter expertise to advise and guide technical leads and peers.
• Establish and drive execution of technical direction, standards, guidelines, methodologies and advocate best practices.
• Work to enhance existing test automation processes, improving efficiency, and reducing manual intervention across both environments.
• Develop and improve strategic and enterprise-wide technical direction.
• Create or revise operating procedures relating to specific technologies or IS processes.
• Deeply experienced in coding with a nuanced understanding of Object-Oriented and Functional programming concepts, capable of writing and reviewing code across multiple languages and paradigms.
• Demonstrated ability to innovate and automate security processes and functions through code, enhancing efficiency and effectiveness.
• Strong technical expertise with multi-cloud environments, including container/serverless and other microservice architectures.
• Strong technical expertise with SDLC, CI/CD tools, and Deployment Automation.
• Strong experience with implementing security measures for both applications and data, with an understanding of the unique security requirements of data warehouse technologies such as Snowflake.

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.

• 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/Google Cloud Platform) & 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.

• 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.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.