Sr. Lead Application Security Engineer  - Generative AI

$130,000 - $230,000/Yr

S&P Global - Columbia, SC

Full-time - Senior

Columbia, SC

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 involves developing and implementing security architecture and engineering best practices, particularly for GenAI applications. The engineer will collaborate 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
• Drive and guide the specification and realization of a security architecture
• Perform threat modeling, secure code reviews, and secure design reviews for high-risk applications
• Perform vulnerability research and serve as a technical security/risk advisor
• Determine testing requirements and develop strategies to automate security testing
• Assist developers in remediating vulnerability findings
• Coach development teams on security disciplines and provide training
• Maintain knowledge of current and emerging technologies related to security
• Develop repeatable application security patterns
• Consult and assist with security incident response process
• Consult on Application Penetration tests to identify and mitigate security gaps
• Guide development and SRE teams in building secure Cloud Native applications

Requirements

• Bachelor's degree in Computer Science or related field
• 12 or more years of progressive related experience in Security engineering roles
• Demonstrated subject matter expertise in Application Security and GenAI/LLM security
• Programming expertise in Java and Python
• 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
• Demonstrated expertise in product/application security architecture
• Security audit, Vulnerability assessment and packet analysis skills
• TCP/IP stack knowledge and Encryption expertise
• Identity & Access Management knowledge

Nice-to-haves

• Experience with AI technologies and services
• Expertise in the security of Gen AI models
• Experience with automation tools associated with DevOps and CI/CD pipelines
• Familiarity with SAST/DAST/SCA tools
• Database knowledge including Postgres, Oracle, Databricks, Snowflake
• Familiarity with Secure SDLC frameworks
• Security Forensic analysis skills

Benefits

• Health care coverage
• Generous time off
• Access to resources for career growth
• Competitive pay and retirement planning
• Family-friendly perks
• Retail discounts and referral incentive awards