{"id":3979401,"url":"https://alion.io/job/mx-product-security-architect","title":"Product Security Architect","company":{"id":678864,"name":"MX","domain":"mxtechnologies.ai","url":"https://alion.io/company/mxtechnologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Security","role_family":"Security","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lehi, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-11-09T16:47:29Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T19:15:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"MX is a financial technology company on a mission to empower the world to be financially strong. We build the data infrastructure and intelligent solutions that help leading banks, credit unions, and fintechs deliver smarter, more personalized financial experiences to millions of consumers every day.\nOperating at the intersection of scale and agility, MX combines the momentum of a market-proven platform with the speed, innovation, and ownership of a growth-stage company. Here, thoughtful execution matters, innovation is expected, and team members have a direct seat at the table to influence products and outcomes.\nOur culture is built on curiosity, accountability, and measurable impact. We give people the autonomy to question assumptions, build better systems, and shape how we scale. If you’re driven to tackle complex technical and business challenges alongside a collaborative team that builds with sane, high-trust execution, you’ll thrive at MX.\nIntroduction to the Position\nThe Product Security Architect champions secure development, application security, and the secure adoption of AI throughout the organization. Working with the Engineering and Product teams, the Security Architect ensures that applications are developed using secure patterns and reviews changes to existing applications. They also ensure that the underlying infrastructure, systems, and AI services are managed securely.\nAs a key member of the Information Security department, the Security Architect helps build a comprehensive suite of security capabilities, controls, and standards, and uses AI to scale and automate that work. In a nutshell: building security and automation into DevOps/SRE and engineering processes, and building security into how MX builds and uses AI.\nJob Responsibilities\nArchitect security systems and designs to help secure MX’s platform and products, including AI and LLM-powered features, both in the cloud and on-prem/colo.\nMature the MX Security Architecture review program and processes, with review criteria for both traditional applications and AI systems (agents, RAG pipelines, model and tool integrations).\nAutomate application security tooling by building it into CI/CD processes, using AI-assisted analysis to triage findings, reduce false positives, and suggest fixes to developers.\nEnsure that software is developed securely with resilient architectures and patterns, including guardrails for AI features that handle customer or financial data.\nPartner with the Platform and DevOps teams to implement appropriate security architecture through threat models, tooling, and automation for Kubernetes, AWS/GCP, and the AI services and models running on them.\nEstablish security checkpoints in the SDLC to ensure that secure code practices are followed, including standards for secure use of AI coding assistants and review of AI-generated code.\nWrite automation scripts, Terraform, custom SAST/IAST rules, and integration code to embed security controls directly into engineering workflows.\nUnderstand and track the current threat landscape for the products and software we develop, including AI-specific threats (OWASP Top 10 for LLM Applications, MITRE ATLAS), and create controls accordingly.\nFunction as a subject matter expert on application security architecture and AI security architecture.\nAssess third-party software and AI vendors for security risk, and help shape MX's AI governance.\nSupport security engineering initiatives by guiding and mentoring engineers across the security organization.\nPartner with stakeholders to mature a Security Champion program designed to both build in security concepts in our development flows, but also empower our development and engineering teams to self-identify and remediate findings traditionally driven by a ProdSec or AppSec engineer. \nBasic Qualifications (Must-Have)\nBachelor's degree in Computer Science, Information Security, or a related field (or equivalent practical experience).\n12+ years of experience in Application Security, Application Architecture, DevOps, or a related field.\nSolid understanding of automation tooling, primarily CI/CD pipelines and containers, and experience using AI tools to automate or speed up security work.\nSolid understanding of computer security principles and development processes, including AI-specific threats and frameworks.\nDeep understanding of software dependencies, related vulnerabilities, and secure use of software repositories and open source software, extending to AI models, datasets, and AI-generated code.\nKnowledge of secure coding principles implemented in 2-3 languages and the ability to partner and collaborate with developers, including guiding the secure use of AI coding assistants.\nExcellent communication skills and the ability to engage with technical and non-technical departments and teams.\nPreferred Qualifications\nMaster's degree or PhD in Computer Science, Information Security, or a related field.\nHands-on experience securing applications that use LLMs, ML models, or AI agents.\nKnowledge of financial industry regulations, such as SOC 2 and PCI.\nExperience in a regulated, fintech, or SaaS environment, and a track record of mentoring engineers or acting as a team lead.\nMX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. 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