# Sr Security Platform Engineer, AI and Automation at Vanguard

Vanguard is hiring a Sr Security Platform Engineer, AI and Automation. Level rates it Works on AI ●●●○; you can [apply on Vanguard](https://jobsbylevel.com/go/dc0cacdc-f134-41c9-9687-532c58c7fa0a?utm_medium=ai-agent).

AI Level 3, AI centrality 67 out of 100. Charlotte, NC.

## Details

- Company: [Vanguard](https://jobsbylevel.com/companies/vanguard)
- AI level: AI Level 3 (score 67 out of 100)
- Location: Charlotte, NC
- Posted: October 27, 2026
- Apply: https://jobsbylevel.com/go/dc0cacdc-f134-41c9-9687-532c58c7fa0a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-security-platform-engineer-ai-and-automation-at-vanguard-90967a

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/sr-security-platform-engineer-ai-and-automation-at-vanguard-90967a

## Description

Global Enterprise Security (GES) partners with the lines of business across Vanguard to protect crew and client information and assets. Our sub-department, Attack Surface Reduction, provides a cohesive view into Vanguard's technical attack surface, focused on identifying, prioritizing, and managing vulnerabilities and configuration issues across the organization. DevSecOps, part of Attack Surface Reduction, enhances the security posture of Vanguard's software applications through security automation that helps developers find and fix vulnerabilities earlier in the SDLC. This role sits on the team responsible for orchestration and enforcement of our security scanning capabilities, including SAST, SCA, container scanning, and API security scanning. We build the platform that runs these scans across Vanguard's pipelines and enforces security policies, and we are extending it with AI capabilities that analyze findings and recommend remediation for developers. You will work closely with the engineers within our team, architects, Security Architecture and Engineering (SAEP), AI, Data and Platform Technology (ADAPT), IAM, Technical Security Advisors and teams across Attack Surface Reduction to shape how security testing is delivered at scale. Responsibilities: Lead the design, development, and implementation of secure, cloud-native platform services on AWS, leveraging technologies such as IAM, ECS, Lambda, Step Functions, RDS, S3, and CloudFormation. Integrate application security tools and scanning capabilities into Software Development Life Cycle (SDLC) pipelines, including onboarding new security scanners, normalizing findings, and translating results into enforceable security controls. Partner with tech lead and architects on the technical direction for AI scanning capabilities and the AppSec AI Harness, taking agentic vulnerability analysis and remediation from proof of concept to a supported production capability. Design integration patterns between AI capabilities and the security orchestration platform, including ingestion of security findings, validation of AI-generated remediation, and measurement of output quality as models and prompts evolve. Partner with technical leads and architects to integrate AI capabilities into the broader platform architecture, engineering standards, and delivery roadmap. Serve as a technical subject matter expert for AI-enabled application security, establishing practical approaches for applying AI to security challenges across DevSecOps. Design and develop APIs, event-driven integrations, automation services, and CI/CD capabilities that enable reliable, scalable security testing and simplify adoption for development teams. Improve the reliability and scalability of the orchestration platform and AI capabilities through automation, observability, and self-service capabilities. Collaborate with security and engineering teams to embed secure development practices throughout the development lifecycle, including Static Application Security Testing (SAST), Software Composition Analysis (SCA), container security, and API security testing. Provide technical leadership and mentorship, promoting high-quality software engineering practices and strengthening the team's capabilities in AI, application security, and platform engineering. Partner with stakeholders to establish technical direction, manage technical risks, and deliver business-critical solutions, including determining where AI provides meaningful value within application security. Collaborate with DevSecOps leaders to align engineering priorities and deliverables with strategic initiatives as business and technology needs evolve. Drive continuous improvement across platform architecture, engineering standards, security practices, and operational excellence. Required Qualifications 12+ years of experience in software engineering, application development, or platform engineering, including 8+ years of hands-on software development experience.

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/sr-security-platform-engineer-ai-and-automation-at-vanguard-90967a

Source: https://jobsbylevel.com/jobs/sr-security-platform-engineer-ai-and-automation-at-vanguard-90967a

## Cite this page

Level. https://jobsbylevel.com/jobs/sr-security-platform-engineer-ai-and-automation-at-vanguard-90967a.

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