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Senior Manager, Information Security
DXC Technology. Develop and maintain secure design patterns and controls for AI/ML solutions, including LLMs, RAG architectures, vector databases, and enterprise AI agents .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in secure architecture for AI/ML solutions, including risk assessments and threat modeling, while effectively collaborating across teams to implement architectural best practices and security controls. Proficient in evaluating and integrating secure technology tools and platforms aligned with enterprise architecture standards.
Highest-signal resume keywords
AI/ML SecurityThreat ModelingSecure Architecture AssessmentsMITRE ATLASAWS Security
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Secure Design PatternsRisk AssessmentsData Flow DiagramsIntegration Points EvaluationCompensating ControlsArchitectural SafeguardsAI Coding AssistantsAgentic AIAPI SecurityCloud Security
Soft Skills
Strong Communication SkillsCollaborationDecision-Making
Tools & Technologies
GitHub CopilotMicrosoft Copilot StudioContainersSecrets ManagementNetworking
Certifications & Qualifications
CISSPCISMCCSPCCSKCRISC
Industry Keywords
Financial ServicesRegulated IndustriesAgile MethodologiesDevOpsCI/CD Pipelines
Tech Stack
Tools & technologiesAWSCloudSDLC
About the role
Key responsibilities & impact- Develop and maintain secure design patterns and controls for AI/ML solutions, including LLMs, RAG architectures, vector databases, and enterprise AI agents
- Define secure operating environments aligned with enterprise architecture strategy and GIS standards
- Evaluate system impacts, data flows, integration points, and security-related non-functional requirements
- Provide solution options to resolve architectural constraints and remove design impediments
- Participate in design reviews, feature decomposition, and technical governance for AI-enabled platforms and SDLC-integrated developer tools
- Conduct AI-specific risk assessments using MITRE ATLAS, OWASP Top 10 for LLMs/GenAI, and NIST AI RMF
- Perform threat modeling for cloud, application, data, and AI use cases
- Identify risks including prompt injection, model/data poisoning, data leakage, model theft, hallucinations, and supply-chain risk
- Define compensating controls and architectural safeguards for AI/ML pipelines
- Collaborate with lines of business, operations, enterprise architecture, data science, and development teams
- Translate policies and standards into actionable architecture guidance
- Educate partners on architectural best practices, security controls, and evolving AI threats
- Support evaluation and selection of secure technology tools, platforms, and third-party integrations
- Provide architecture review documentation, data flow diagrams, and risk summaries for governance processes
Requirements
What you’ll need- 8+ years of experience in information security or enterprise architecture, with recent focus on AI/ML or Generative AI security
- Experience performing secure architecture assessments, design reviews, and threat models for complex, integrated systems
- Broad experience across AWS, identity, key management, secrets management, networking, containers, and API security
- Deep knowledge of Agentic AI, autonomous agents, MITRE ATLAS, OWASP LLM Top 10, and NIST AI RMF
- Experience securing AI-assisted software development and agentic systems, including AI coding assistants, agent frameworks, tool/MCP integrations, and enterprise AI controls
- Expertise applying internal security policies, standards, and controls
- Strong communication skills for technical, non-technical, and senior leadership audiences
- Ability to drive decisions, collaborate across teams, and balance risk versus business needs
- Hands-on experience preparing technical diagrams and threat models
- Desired: experience with GitHub Copilot, Microsoft Copilot Studio, or similar AI coding assistants
- Desired: certifications such as CISSP, CISM, CCSP, CCSK, CRISC, or cloud architecture/security certifications
- Desired: familiarity with agile methodologies, DevOps, CI/CD pipelines, and developer experience platforms
- Desired: experience in financial services or other regulated industries
Benefits
Comp & perks- Health, dental, and vision insurance coverage
- Employee wellness program
- Life and disability insurance
- Retirement savings plan
- Paid holidays
- Paid time off
- Flexible work arrangements supporting wellbeing, productivity, individual work styles, and life circumstances
- Inclusive work environment
- Disability accommodations for applicants with disabilities, disabled veterans, or wounded warriors