Generative AI Security Architect

$143,000 - $214,475/Yr

Life Technologies - Frederick, MD

Full-time - Mid Level

Hybrid - Frederick, MD

10,001+ employees

Miscellaneous Manufacturing

About the position

As the Generative AI Product Security Architect at Thermo Fisher Scientific, you will play a crucial role in ensuring that AI-related products are developed and tested against security standards. This position involves collaborating with product development teams to identify and mitigate security vulnerabilities, conducting threat modeling, and designing security solutions tailored to AI products. Your expertise will help maintain and improve product security processes, contributing to the company's mission of making the world healthier, cleaner, and safer.

Responsibilities

• Evaluate and provide technical security architecture guidance in the assessment, design, and implementation of AI-related products.
• Work with multi-functional business units to identify, capture, and raise security vulnerabilities in Thermo Fisher AI-related products and platforms.
• Establish and build working relationships with product development partners to maintain and improve product and application security processes.
• Conduct threat modeling exercises to identify potential security risks and vulnerabilities in AI-related products.
• Collaborate with AI, cloud security, and infrastructure teams to embed security into applications.
• Design and implement security solutions and controls tailored to the unique challenges of AI-related products.
• Contribute to maturing process, policy, and standards guidance.
• Build security control framework and generic reference architectures for AI-related applications and products.
• Keep up-to-date with the latest data protection and AI security practices and laws.

Requirements

• Bachelor's Degree in cybersecurity, computer science, or related field (equivalent work experience accepted).
• 3-5 years of related work experience with product security, secure software development, risk assessment, or vulnerability management.
• 3-5 years working as an architect or engineer in Cloud, e-Commerce, IoT, Endpoint, Network, or Server.
• Experience with AI frameworks such as Azure OpenAI and Amazon Bedrock AI.
• Strong organization skills, leading sophisticated projects.
• Strong knowledge of AI technologies and governance principles and their inherent security risks, machine learning models, adversarial attacks, and data privacy regulations.
• In-depth knowledge related to building, managing, and securing AI solutions.
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and technical teams.
• Exposure to popular application and AI security standards including OWASP ASVS, OWASP Top 10, OWASP LLM Top 10.
• Proficiency in web application compliance standards, regulatory frameworks, and proven security strategies.
• Knowledge of application and data security, AI/Gen AI, Machine Learning, or data science.
• Experience developing Reference Security Architecture and Design Patterns to support proactive security controls.
• Strong analytical and product management skills required.
• Excellent customer service skills required.

Nice-to-haves

• Certifications such as Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty, AWS Certified AI Practitioner, CISSP, or other security-related certifications.

Benefits

• Competitive remuneration
• Annual incentive plan bonus
• Healthcare
• Employee assistance and family support programs
• Commuter benefits
• Tuition reimbursement
• At least 120 hours paid time off (PTO)
• 10 paid holidays annually
• Paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave)
• Accident and life insurance
• Short- and long-term disability
• Retirement and savings programs, including a competitive 401(k) U.S. retirement savings plan
• Employees' Stock Purchase Plan (ESPP)