Security Architect-AI
VirtualHybrid: Des Moines, IAUSC, GC, GC EADJD:Details:Top 3 Required Technical SkillsLead the strategic evolution of the GitHub Advanced Security environment and GitHub Copilot configurationDesign secure, automated CI/CD guardrails using CodeQL, secret scanning, and dependency scanningArchitect enterprise-scale AI-assisted development workflows with strong security and quality controlsBusiness Initiative / Project OverviewThis Security Architect will bridge the gap between security standards, developer productivity, and AI-assisted engineering. The role will focus on advancing the GitHub Advanced Security ecosystem and scaling Copilot's autonomous agent capabilities. The objective is to enable engineering teams to deliver resilient, secure software through automation, AI guardrails, and hands-on technical mentorship.Current MethodologyAgile delivery model with a strong emphasis on collaboration and accelerated project movement.Organization & Team Culture• Hybrid schedule in Des Moines, Iowa: onsite Tuesday, Wednesday, and ThursdayTeam Size & StructureCore team of approximately 10, plus managers across the broader divisionWorks closely with architecture leadership to define prioritiesPartners regularly with platform and technical teams to design and implement scalable solutionsInterview Process• Step 1: 30-45 minute Teams interview with the hiring leader• Step 2: 45 minute panel interview (in person or Teams based on availability) with architecture and team leadershipRole SummaryAs a Security Architect, this position is responsible for aligning security standards with developer velocity in an AI-enabled environment. By advancing the GitHub Advanced Security platform and governing Copilot autonomous agent usage, this role will help engineering teams adopt secure, automated, and scalable development practices.Key ResponsibilitiesEcosystem Optimization• Evolve and tune GitHub Advanced Security and Copilot configurations for high accuracy and low developer frictionSecure AI Orchestration• Govern the use of Copilot coding agents to ensure AI-generated code meets enterprise security and quality standardsSeamless GuardrailsImplement automated scanning for code, secrets, and dependencies within CI/CD pipelinesLeverage AI-driven autofix capabilities to accelerate remediationTechnical AdvocacyPartner with development teams to interpret and remediate complex security findingsEnable secure adoption of agent-based workflowsPattern Recognition & AI Guidance• Identify recurring security trends and create custom repository instructions that guide AI-generated code toward internal standardsRisk Intelligence• Define and track metrics that shift the security posture from reactive to proactive• Measure the impact of AI-assisted development on code quality and security debtPreferred QualificationsTechnical Mastery• Deep expertise with GitHub Advanced Security (CodeQL, secret scanning, Dependabot)Automation Fluency• Strong experience building GitHub Actions CI/CD pipelines with automated security gates and agent-driven task executionEnterprise Influence• Proven ability to drive adoption of security and AI practices through collaboration and technical leadershipAI Implementation• Hands-on experience scaling GitHub Copilot in an enterprise environment (Chat, Edits, Agent mode)