Overview

This job posting is anticipated to remain open for 30 days, from 16-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns.Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, softw