Application Security Specialist

• Explore cutting-edge techniques, develop innovative methodologies, and advance the practice of secure and safe AI development.
• Take the lead in closing application security vulnerabilities and resolving related issues.
• Formulate and implement a tailored application security architecture across the company.
• Draft guidelines for hardening application security.
• Engage in comprehensive research to assess AI systems, focusing on devising unique methodologies for proactively identifying and addressing security risks in AI, such as adversarial attacks and model evasion.
• Architect and implement security solutions tailored to the specific needs of the organization’s applications and systems.
• Conduct security architecture reviews and threat modeling for new and existing projects to identify potential security flaws and recommend enhancements.
• Examine the effects of emerging tech like large language models on AI security, and devise appropriate countermeasures.
• Work collaboratively with a range of teams, from AI developers to data scientists, embedding security enhancements and best practices throughout the company’s AI development process.
• Actively investigate potential threats to ML and AI that might impact the company.
• Participate in internal research discussions and technical evaluations to enhance secure scientific rigor and foster innovative approaches.
• Keep up-to-date with the latest in AI & Application security and safety research, participate in conferences, and engage with the security community actively

Qualifications:

• Bachelor's degree in computer science, engineering, mathematics, or related field; advanced degree preferred.
• Proven 5+ years of experience in software development, AI engineering, or application integrations, with a focus on AI-driven solutions.
• Knowledge of security frameworks, standards, and regulations (e.g., ISO 27001, GDPR, NIST).
• Excellent analytical, problem-solving, and decision-making skills.
• Effective communication and interpersonal skills, capable of working collaboratively across multiple departments.
• Professional certifications relevant to cybersecurity, AI, and application security, such as CISSP, CEH, or specialized AI security certifications.
• Demonstrated ability to work effectively with cross-functional teams, fostering a cooperative environment where different skill sets converge toward common security goals.
• In-depth knowledge of AI and machine learning technologies, cybersecurity tools, and methodologies. Proficiency in security aspects of large language models, deep learning, and reinforcement learning.
• Upholding high ethical standards and ensuring security measures align with organizational values and regulations.