[Hiring] AI Security Architect @TRIPLE POINT SECURITY INCORPORATED

Role Description

Triple Point Security is looking for an AI Security Architect to help a national research organization explore how artificial intelligence can support its enterprise Zero Trust program. You will:

• Identify and prioritize potential AI use cases across the Zero Trust pillars.
• Assess how well AI-based approaches address specific Zero Trust threats compared with existing tools.
• Ensure recommended capabilities can be governed and authorized under Federal and HHS AI policy.

You will be part of the Risk, Authorization & AI team, reporting to the program's Security Lead and working closely with an ML/Data Engineer and our Lead Zero Trust Architect. This role includes regular client interaction, where you will:

• Present findings and recommendations to client security and technology leadership.
• Facilitate use case discovery workshops and working sessions with client stakeholders.
• Explain AI concepts to audiences with varying levels of technical background.

Your work will have a meaningful impact on the medical and scientific communities our client serves.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Data Science, or a related field from an accredited university.
• 3 to 5 years of experience in cybersecurity architecture, security engineering, or a closely related technical discipline, including hands-on work involving AI/ML systems, security analytics, or detection engineering.
• Working knowledge of Zero Trust principles, including NIST SP 800-207 and the CISA Zero Trust Maturity Model (ZTMM) v2.0 pillars and cross-cutting capabilities.
• Understanding of how AI and machine learning are applied in security, including user and entity behavior analytics (UEBA), anomaly detection, risk scoring, and classification.
• Working knowledge of AI and LLM-specific risks and attack classes.
• Familiarity with AI risk frameworks, including the NIST AI Risk Management Framework (AI 100-1) and Generative AI Profile (NIST AI 600-1).
• Working knowledge of NIST SP 800-53 Rev. 5 and how established Federal security controls apply to AI-enabled systems.
• Experience evaluating technologies against defined criteria and producing structured assessments, evaluation plans, or analyses of alternatives.
• Hands-on experience in at least one major cloud service provider (AWS, Azure, or GCP), including its AI services.
• Proficiency in Python or a comparable language sufficient to prototype, test, and review data pipelines and model integrations.
• Strong written communication skills, including the ability to produce data flow diagrams, architecture documentation, and risk assessments.
• Client-facing experience, including presenting technical findings to leadership and facilitating workshops.

Requirements

• Must be a U.S. citizen (client requirement).
• Must be able to obtain and maintain a client suitability determination (Public Trust) and a client-issued Personal Identity Verification (PIV) credential.
• Complete required security and privacy training prior to access.

Responsibilities

• Lead development of the AI Use Case Inventory across all Zero Trust pillars and cross-cutting capabilities.
• Prioritize use cases by enterprise risk, feasibility, and mission impact.
• Author a data statement for every use case documenting data consumption and classification.
• Lead the assessment of AI effectiveness against Zero Trust threats.
• Design evaluation approaches that do not assume a large labeled incident corpus.
• Conduct analyses of alternatives comparing classical ML, agentic AI, and conventional automation.
• Partner with the ML/Data Engineer on technical design artifacts.
• Define Zero Trust controls for AI systems themselves.
• Threat model AI-enabled Zero Trust controls using MITRE ATLAS and OWASP Top 10 for LLM Applications.
• Align designs with HHS and client AI policy.
• Plan and facilitate use case discovery workshops and working sessions.
• Present AI use case priorities, assessment results, and recommendations to client leadership.
• Contribute to the coordinated quarterly refresh cycle and ZTA knowledge base content.
• Research emerging AI capabilities, attack techniques, and Federal AI policy.
• Mentor junior engineers and interns on AI security and Zero Trust fundamentals.
• Support business development efforts including proposal contributions and client presentations.

Benefits

• Immediate vesting for 401(k) company matching contributions.
• 100% of premium cost for basic employee coverage: Health, Dental, and Vision.
• 100% of premium cost: Basic Life AD&D, Short Term Disability, and Long Term Disability.
• Flexible Spending Accounts: Health, Dependent Care, and Mass Transit & Parking.
• Tuition & Training Reimbursement.
• Paid Time Off plus 10 Paid Holidays.
• Performance and referral Bonus.
• Flexible work schedule (with client approval).
• Employee Assistance Program.
• Call A Doctor Plus Telemedicine Service.
• MetLaw Group Legal Services.
• Technology resources (HW/SW), online training, and virtual labs.