Play a key role in shaping and advancing product cybersecurity across our R&D organization, focusing on governance, risk management, secure development practices, and regulatory compliance.
Responsibilities
Own and continuously improve the Secure Software Development Lifecycle (SSDLC) program across DHS R&D product teams
Drive cybersecurity maturity improvements and support teams in adopting security best practices and controls
Lead security governance activities, including threat model reviews, security architecture assessments, and risk management processes
Establish and maintain medical device cybersecurity processes supporting regulatory requirements and audit readiness
Act as a trusted cybersecurity advisor for product teams, architects, auditors, notified bodies, and other stakeholders
As Principal Architect for AI Security, you will define and lead the security architecture strategy for our AI platform, products, and infrastructure. This is a rare opportunity to shape how a fast-moving organization thinks about security at the intersection of machine learning, cloud infrastructure, and product delivery. You will operate as a technical authority — influencing roadmap, mentoring senior engineers, and partnering with leadership to ensure our AI systems are trustworthy, resilient, and defensible.
Compensation
This position pays between $148,800 - 223,200 based on experience and geographical location.
Responsibilities
Define the end-to-end security architecture for AI/ML systems, including training pipelines, inference infrastructure, model storage, and APIs.
Develop and maintain a threat model for AI-specific attack surfaces: model poisoning, adversarial inputs, prompt injection, model inversion, and supply chain risks.
Lead design reviews for high-impact systems, setting standards for secure-by-default AI development.
Own the AI security roadmap, aligning it with product goals, compliance requirements, and industry best practices.
Serve as an authority on AI security decisions across engineering, product, and research teams.
Requirements
Nice to have: NIST AI RMF
Nice to have: CISSP
Nice to have: CCSP
Nice to have: Cloud security specializations
Nice to have: Published research in AI/ML security
Responsible for designing, reviewing, and governing secure AI-enabled solutions and architectures across the organisation and customer environments, acting as a bridge between cybersecurity, AI engineering, data, risk, and business stakeholders.
Responsibilities
Consult Customers in their journeys of building secure AI architectures, platforms and solutions
Define and maintain secure AI architecture principles, patterns, and reference architectures
Conduct architecture reviews and provide security guidance for AI initiatives and AI-enabled products
Consult in AI threat modeling and risk assessments
Define security requirements for AI systems, agents, models, data pipelines, and integrations
Requirements
Bachelor's degree in Cyber Security, Computer Science, Information Technology, Data Science, or related field
Master's degree in Cyber Security, Computer Science, Information Technology, Data Science, or related field
Support cybersecurity readiness, regulatory compliance, and cyber resilience initiatives for embedded software and associated hardware systems by coordinating security activities and tracking compliance requirements throughout the software development lifecycle.
Responsibilities
Assist in developing and maintaining cybersecurity project plans, schedules, and milestones for embedded software and associated hardware interfaces
Create, maintain, and manage the cybersecurity backlog, ensuring security tasks, deliverables, and documentation are tracked and completed on schedule
Coordinate cross-functional planning sessions, project reviews, and meetings with cybersecurity, engineering, product management, and leadership teams
Monitor cybersecurity compliance activities and maintain traceability of security requirements throughout the product development lifecycle
Develop and maintain project metrics, dashboards, and status reports to track cybersecurity milestones, outstanding issues, and remediation activities
Requirements
Bachelor's degree in Computer Science or Cybersecurity
This role focuses on integrating security governance, risk management, and compliance practices into the software development lifecycle to ensure applications are designed, built, and deployed securely.
Locations (2)
United States
Canada
Responsibilities
Support the development and implementation of Secure Software Development Lifecycle (SSDLC) practices across full-stack development projects
Collaborate with software engineers, DevOps teams, and architects to embed security and compliance requirements into development workflows
Assist in implementing security controls aligned with frameworks such as NIST SSDF, NIST CSF, and OWASP best practices
Participate in secure design reviews, architecture discussions, and threat modeling sessions for applications hosted on Microsoft Azure
Assist with documenting and maintaining secure coding standards and application security policies
Lead and grow a high performing team of security engineers, overseeing secure software development lifecycle and security of CI/CD pipelines for LinkedIn’s member-facing and internal products.
Responsibilities
Own, evolve, and drive the secure development lifecycle
Drive shift-left and shift-down initiatives across architecture reviews, threat modeling, SAST/DAST, continuous end to end testing, fuzzing
Drive adoption of paved paths focusing on safe coding, cryptographic hygiene, software supply chain security
Champion AI-assisted security workflows
Lead and grow a high performing team of security engineers
Requirements
BS or higher in Computer Science, Cybersecurity, Information Security, or related technical field
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