Senior AI Security Technical Architect

This job posting is anticipated to remain open for 30 days, from 28-Jul-2026. The posting may close early due to the volume of applicants.

Team Overview
Edward Jones is seeking a Senior AI Security Technical Architect to continue to build upon a defined enterprise AI security strategy, ensuring artificial intelligence and generative AI capabilities are designed, deployed, and operated in a secure, compliant, and responsible manner.
This role is responsible for aligning business objectives, technology strategy, and security architecture to enable AI innovation with clear guardrails. The Senior AI Security Technical Architect will establish standards, patterns, and governance across multiple AI usage models, including third‑party SaaS AI solutions, internally developed AI/ML platforms, and emerging agentic and autonomous AI systems.
By grounding AI security practices in industry frameworks such as NIST AI Risk Management Framework (AI RMF) and MITRE ATLAS, this role ensures AI risks are proactively identified, communicated, and mitigated while supporting the firm’s broader digital transformation, cloud adoption, and regulatory obligations.

What You’ll Do

• Own and evolve the enterprise AI security architecture and strategy, aligning business goals, technology platforms, and risk management practices.

• Assist in defining secure‑by‑design patterns and standards for AI/ML systems

• Establish and maintain AI‑specific security artifacts

• Ensure consistent adoption of NIST AI RMF, MITRE ATLAS, CIS, ISO 27001 across AI initiatives.

• Establish architectural governance and enforce adherence to AI security standards across product teams and platforms.

• Influence AI design decisions early in the lifecycle to reduce downstream risk and rework.

• Partner with enterprise stakeholders to balance speed of innovation with risk tolerance and regulatory expectations.

• Evaluate AI frameworks, agents, vector databases, and third‑party AI platforms for security posture and enterprise readiness.

• Recommend and rationalize AI security tooling as part of the broader enterprise security strategy.

• Monitor emerging AI threats, regulatory guidance, and industry best practices to inform security strategy and standards.

Current Internal home-based associates please note: Even as a campus-based posted role you are eligible to apply and, if selected, you may retain your home-based status. However future business or regulatory needs may require on-site work and some roles may carry a preference for campus-based presence.

What Experience You’ll Need

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 12+ years of experience in cybersecurity engineering or architecture within a complex enterprise environment.
• 4+ years of hands‑on experience securing or reviewing AI/ML systems and platforms.
• Strong understanding of:
• LLM architectures, embeddings, and Retrieval‑Augmented Generation (RAG) patterns
• End‑to‑end ML pipelines (training → validation → deployment → inference)
• AI model supply chain risks (model registries, containers, dependencies, open‑source components)
• Zero Trust and identity‑centric security models
• Cloud security across Azure, AWS, and GCP
• Proven ability to influence architecture decisions and lead cross‑functional initiatives at the enterprise level.
• Excellent communication skills, with the ability to engage senior technical and business leaders.

What Could Set You Apart

• Security certifications such as CISSP, CISM, CCSP, or SANS certifications.
• Experience contributing to responsible AI practices, explainability, or bias mitigation initiatives.
• Experience securing AI platforms in regulated industries, particularly financial services.
• Background supporting advanced encryption, cryptographic agility, or post‑quantum readiness.
• Demonstrated experience in incident response and enterprise risk management.
• Understanding of various regulatory requirements and laws, including but not limited to NYDFS Cybersecurity Regulations and FINRA Regulations

Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week.

Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.

Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf.