Designing Solutions
- Apply expert-level knowledge of AI-driven threats, cyber defense, and enterprise security architecture to define and drive outcomes that protect the organization from emerging AI-powered attack vectors.
- Create the enterprise strategy for defending against AI-enabled threats, including automated vulnerability discovery, exploitation, and adversarial AI techniques.
- Establish architecture for detection, prevention, and response capabilities specific to generative AI threat patterns.
- Define and implement security patterns and guardrails to enable safe and secure enterprise consumption of AI technologies.
- Drive integration of AI threat detection and controls into existing cyber defense tooling and platforms.
- Build threat models focused on generative AI attack patterns and emerging adversarial techniques.
- Use independent, critical thinking to translate evolving AI threat intelligence into scalable engineering controls and defensive capabilities.
- Lead the development of detection and response mechanisms for AI-driven attacks across enterprise environments.
- Design and implement telemetry strategies to identify anomalous behavior indicative of AI-enabled threats.
- Partner with Cyber Defense teams to operationalize detections, response playbooks, and automation for AI-related incidents.
- Prototype and evaluate defensive applications of AI to enhance detection, response, and security operations.
- Develop architecturally significant components that advance the organizations ability to defend against AI-driven adversaries.
- Lead research initiatives focused on emerging AI threat capabilities, adversarial AI techniques, and evolving attack methodologies.
- Maintain deep expertise in industry frameworks such as OWASP LLM Top 10 and MITRE ATLAS.
- Continuously evaluate and introduce modern security technologies and approaches to address AI-era risks.
- Drive adoption of innovative defensive techniques across the organization to stay ahead of threat evolution.
- Provide deep technical expertise in AI security to solve complex, high-impact problems and remove critical technical roadblocks.
- Partner with product owners and engineering teams to incorporate AI security requirements into technical designs and user stories.
- Act as a technical leader in system design across teams, ensuring AI security considerations are embedded into broader architecture decisions.
- Mentor engineers and elevate AI security capabilities within teams.
- Partner closely with Cyber Defense, IAM, and Application Security teams to integrate AI threat protections across the security ecosystem.
- Promote adherence to enterprise security standards while extending them to address AI-specific risks.
- Broker design and implementation of AI security controls across product teams to support strategic priorities.
- Drive alignment across teams on detection engineering, telemetry, and response strategies for AI threats.
- Influence senior leadership on AI risk posture, threat landscape evolution, and required investments in defensive capabilities.
- Provide enterprise-wide guidance on AI security architecture, ensuring consistent and scalable protection strategies.
- Represent the organization externally on AI security topics when appropriate (industry forums, partnerships, etc.).
- Translate complex AI security risks into actionable insights for both technical and non-technical stakeholders.
- Define enterprise-level capabilities required to defend against AI-powered threats.
- Shape the strategic direction for AI security across cyber defense, detection engineering, and secure AI adoption.
- Provide subject matter expertise to guide platform and security investments related to AI risk mitigation.
- Establish and promote engineering standards for AI security, including secure AI usage patterns and detection frameworks.
- Collaborate across teams to ensure consistent application of AI security controls and design patterns.
- Drive adoption of best practices for integrating AI threat protections into engineering workflows and platforms.
- Provide technical leadership in identifying and responding to AI-driven security incidents and emerging threats.
- Introduce resilient and scalable technologies to improve detection and response capabilities for evolving attack patterns.
- Evaluate and implement enhancements to CI/CD and operational pipelines to incorporate AI security controls.
- Influence cross-functional teams to proactively address risks associated with AI-enabled development and deployment.
- Provide technical expertise in evaluating AI security tools, detection platforms, and emerging defensive technologies.
- Assess how vendor solutions align with enterprise strategy for defending against AI-driven threats.
- Contribute to selection criteria for platforms that enhance AI security posture and detection capabilities.
- Mentor engineers in AI security concepts, threat modeling, and detection engineering.
- Provide guidance on best practices for securing AI-enabled systems and defending against adversarial AI techniques.
- Deliver training, workshops, and knowledge-sharing sessions to build AI security expertise across the organization.
- Engage in the broader AI and security community to strengthen organizational expertise and visibility in AI security.
- Support recruitment efforts to hire engineers with specialized skills in AI security and advanced cyber defense.
- Model Thrivents leadership competencies: Model the Way, Rally the Team, and Deliver Outcomes.
- Foster a culture of continuous improvement, innovation, and strong security practices aligned to evolving AI risks.
- Bachelor's degree in Computer Science, Cybersecurity, or related technical field, or equivalent work experience
- 10+ years of experience in security engineering or related field
- Proven experience defining and executing enterprise security strategy
- Deep knowledge of modern threats, attack techniques, and detection engineering
- Experience with threat modeling, incident response, and security operations
- Demonstrated ability to influence both technical and executive stakeholders
- Experience working with AI/ML systems and security implications
- Knowledge of adversarial AI techniques and AI threat modeling
- Experience with XDR, SIEM, and detection engineering practices
- Familiarity with AI security frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS)
- Financial services industry experience
Thrivent provides Equal Employment Opportunity (EEO) without regard to race, religion, color, sex , gender identity, sexual orientation, pregnancy, national origin, age, disability, marital status, citizenship status, military or veteran status, genetic information, or any other status protected by applicable local, state , or federal law. This policy applies to all employees and job applicants.
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