Sr. Lead Application Security Engineer  - Generative AI

$130,000 - $230,000/Yr

S&P Global - Lansing, MI

Full-time - Senior

Lansing, MI

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 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.

Requirements

• Bachelor's degree in Computer Science or related field, or relevant work experience.
• 12+ 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 (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 security automation built around Gen AI inputs and outputs.
• Knowledge of AWS cloud architecture and virtualization technologies (Containers, EKS, Kubernetes, VMware).
• Experience in defining and documenting security reference architectures and standards.
• Experience with automation tools associated with DevOps and CI/CD pipelines.
• Familiarity with SAST/DAST/SCA tools like Fortify and Whitesource.
• Database knowledge (Postgres, Oracle, Databricks, Snowflake).
• Familiarity with Secure SDLC frameworks (NIST SSDF, OpenSAMM, BSIMM).
• Security forensic analysis skills.

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 for employees and their families.
• Retail discounts and referral incentive awards.