Sr Staff Engineer - AI Security

About the role

GEICO is seeking an experienced Senior (Sr) Staff Engineer to provide enterprise strategy and support for AI security. The position reports to the Sr Director of Product Security and works closely with senior leaders, development teams, product teams, and others across the organization to integrate security into the product lifecycle.

Responsibilities

• Work independently with developers, system/network engineers, product owners, and other engineers to ensure secure design, development, and implementation of AI and agentic based applications
• Drive AI Security strategy across GEICO
• Develop secure agentic development best practices standards and drive adoption across the developer community
• Define and document secure architecture patterns and anti-patterns
• Perform security architecture design reviews of our products including web applications, services, and mobile applications
• Define security best practices and standards and partner with Product Development teams to implement them
• Provide remediation guidance and recommendations to developers and engineers
• Serve as a technical advisor and consultant to colleagues and GEICO leadership on the implementation of the Cybersecurity security policy and standards
• Provide technical thought leadership for integration decisions, analyzing design constraints and trade-offs in system and security design, and ensuring integrity of GEICO mission objectives, while protecting GEICO assets from cyber threats and vulnerabilities
• Interface with the Product and Cyber Security teams to track security feature enhancement requests
• Help develop actionable insights, prioritizing the work, based on risk, and impact, and allocate resources effectively, using Geico specific large data sets

Qualifications

• Expert knowledge in AI and agentic applications, services, design patterns, and protocols (e.g., skills, agents, MCPs, etc.)
• Hands-on AI product development experience, with strict SLA and SLR, using a mature S-SDLC
• Direct experience working with development teams to define, develop and document secure solutions
• Strong familiarity with common vulnerabilities and attack vectors
• Knowledge of ubiquitous encryption technologies (PGP, SSH, SSL, etc.) and common authentication protocols (OpenID Connect, OAUTH, SAML, RADIUS, LDAP, KERBEROS, etc.)
• Solid understanding of secure network, system, and service design in cloud (Azure, AWS etc.) and conventional environments
• Understanding and applied use of OWASP Top 10, NIST SP800 Series, NIST CSF, FIPS 140-2, ISO 27001, PCI-DSS, etc.
• Advanced understanding and knowledge of application development life cycle methodologies (such as agentic development, waterfall, spiral, agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps/ SecDevOps)
• Exposure to multiple, diverse security technologies, platforms, and processing environments
• Advanced understanding and knowledge of application development life cycle methodologies (such as agentic development, waterfall, spiral, agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps/ SecDevOps)
• Good understanding of product management, agile principles and development methodologies and capability of supporting agile teams by providing advice and guidance on opportunities, impact, and risks, taking account of technical and architectural debt
• Experience integrating security testing into the SDLC
• Experience providing security training to developers
• Demonstrated experience using SCA, DAST, and SAST tools and services
• One or more of the following Cybersecurity certifications are highly desired: Security+, Certified Information System Security Professional (CISSP), Certified Software Security Lifecycle Professional (CSSLP) or Certified Information Security Manager (CISM)
• Experience planning and designing application security, cloud security, systems security, or platform security
• Experience in at least two security solution design and development disciplines, including technical or security infrastructure architecture, cloud security, network security management, secure application development or secure cloud development
• Experience with AWS, GCP, Azure, or another cloud service
• Experience in AI development and frameworks

Pay

$120,000.00 - $260,000.00

Schedule

Full-time