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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in AI security architecture, including the ability to define security standards, conduct threat modeling, and lead security initiatives across complex enterprise environments. Proficient in developing secure AI systems and integrating security practices into CI/CD workflows.
Highest-signal resume keywords
AI Security ArchitectureThreat ModelingSecurity Standards DevelopmentCloud Security ExperienceSecurity Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringApplication SecurityCloud SecuritySecurity ArchitectureRisk AssessmentCode Writing for Security TestingSecure Design ReviewsAI Governance RequirementsSecurity ToolingCI/CD Integration
Soft Skills
Influencing Without AuthorityTechnical CommunicationMentoring
Tools & Technologies
AzureAWSGCPAI Orchestration PlatformsMCP Integrations
Industry Keywords
AI Security RisksPrompt InjectionData LeakageModel Supply-Chain RiskAgent-Based Workflows
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Define and drive the AI security and security architecture roadmap across enterprise platforms and client-facing products
- Establish firmwide security standards, reference patterns, guardrails, and governance requirements for AI systems and agentic workflows
- Lead security architecture reviews, threat modeling, and risk assessments for strategic and high-risk AI initiatives
- Drive security outcomes for LLM applications, RAG pipelines, agent workflows, model integrations, and tool ecosystems
- Identify and drive remediation of prompt injection, jailbreak, unsafe tool usage, data exposure, insecure execution path, and excessive agent permission risks
- Lead AI-enabled systems security architecture strategy and influence decisions across engineering organizations and strategic platforms
- Design and scale AI security guardrails, enforcement mechanisms, custom security tooling, and automated tests integrated into CI/CD workflows
- Serve as senior security partner to AI platform, product, engineering, architecture, and security leadership
- Drive adoption of secure AI development and deployment practices across engineering organizations
- Lead complex technical investigations and response strategies involving AI-specific security risks and emerging threat vectors
- Contribute to firmwide technology and security strategy and represent AI and security architecture in executive, architecture, and governance forums
- Mentor security engineers and strengthen technical capability across product security and adjacent engineering teams
Requirements
What you’ll need- 10+ years of experience in software engineering, product security, application security, cloud security, platform engineering, or security architecture
- Experience leading large-scale security initiatives across multiple teams and organizational boundaries
- Deep technical understanding of distributed, cloud-native platforms and modern software delivery practices
- Ability to write code or scripts for security testing, tooling, automation, and technical analysis
- Ability to define technical strategy, architecture standards, and scalable security operating models in complex enterprise environments
- Strong experience with security architecture, threat modeling, secure design reviews, and practical risk reduction
- Ability to influence senior engineering, architecture, product, and business leaders without direct authority
- Ability to analyze complex systems and communicate technical risk, tradeoffs, and recommendations to technical and executive audiences
- Preferred: experience building or securing enterprise AI/ML platforms and AI-enabled applications at scale
- Preferred: experience with LLM applications, agent-based workflows, RAG pipelines, AI orchestration platforms, MCP integrations, or tool/plugin architectures
- Preferred: familiarity with AI security risks including prompt injection, jailbreaks, tool misuse, data leakage, model supply-chain risk, and insecure agent behavior
- Preferred: experience defining AI governance requirements, guardrails, secure deployment patterns, and control frameworks
- Preferred: experience building security automation, policy enforcement, or CI/CD-integrated testing frameworks
- Preferred: background spanning product security, application security, platform security, cloud security, and/or AI systems engineering
- Preferred: experience leading security programs in highly regulated or large-scale enterprise environments
- Preferred: cloud experience across Azure, AWS, or GCP
Benefits
Comp & perks- Annual discretionary bonus
- Healthcare
- Leave benefits
- Retirement benefits
- Strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)
- Hybrid work model with flexibility to work from home 1 day a week