Sr. Lead Application Security Engineer  - Generative AI

$130,000 - $230,000/Yr

S&P Global

Full-time - Senior

10,001+ employees

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Sr. Lead Application Security Engineer - Generative AI at S&P Global is a Director-level individual contributor role focused on enhancing security across S&P Ratings technology platforms. This position is responsible for developing and implementing security architecture and engineering best practices, particularly in the context of Generative AI applications. The role involves collaboration with various teams to identify technical risks, drive the Secure SDLC roadmap, and mentor development teams in security disciplines.

Responsibilities

• Develop, implement and maintain Application security and GenAI security strategy.
• Provide architectural guidance on best practices regarding security in software development and related technologies.
• Drive and guide the specification and realization of a security architecture balancing security risks with business requirements.
• Perform threat modeling, secure code reviews, and secure design reviews for high-risk applications.
• Conduct vulnerability research and serve as a technical security/risk advisor for new technology/applications.
• Determine testing requirements and develop strategies to automate security testing using various tools.
• Assist developers in remediating vulnerability findings with detailed guidance.
• Coach development teams on security disciplines and provide training on software security best practices.
• Maintain knowledge of current and emerging technologies related to security architectural solutions.
• Develop repeatable application security patterns to ensure systems are placed within relevant security zones.
• Consult on security incident response processes and application penetration tests.
• Guide development and SRE teams in building secure Cloud Native applications.

Requirements

• Bachelor's degree in Computer Science or related field, or relevant work experience.
• 12 or more years of progressive experience in Security engineering roles.
• Demonstrated expertise in Application Security, Web services security, and GenAI/LLM security.
• Programming expertise in Java and Python, with experience in Agile SDLC processes.
• Experience with threat modeling, design reviews, risk analysis, and control design.
• Experience architecting and leading security for Cloud native applications.
• In-depth knowledge of network security, authentication, and authorization.
• Advanced understanding of vulnerability exploitation chaining and remediation.
• Expertise in product/application security architecture including SOA, network security, and web services.
• Skills in security audit, vulnerability assessment, and packet analysis.
• Knowledge of TCP/IP stack, encryption, TLS, DTLS, ECC, and PKI/Certificates.
• Experience with Identity & Access Management systems like AD/LDAP.

Nice-to-haves

• Experience with AI technologies and services (e.g., OpenAI, Bedrock).
• Expertise in the security of Gen AI models, including multi-modal models.
• Experience with automation tools associated with DevOps and CI/CD pipelines.
• Familiarity with SAST/DAST/SCA tools like Fortify and Whitesource.
• Knowledge of AWS cloud architecture and virtualization technologies such as Containers and Kubernetes.
• Experience in defining and documenting security reference architectures and standards.

Benefits

• Health care coverage designed for the mind and body.
• Generous time off to keep employees energized.
• Access to resources for continuous learning and career growth.
• Competitive pay and retirement planning options.
• Family-friendly perks and benefits for partners and children.
• Retail discounts and referral incentive awards.