AI Information Security Engineer

Job not on LinkedIn

🕒 June 11

🏈 Alabama, Arizona, +30 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $94.1k - $150.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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SNHU Careers

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

📚 Education

🤝 Non-profit

🎯 Recruiter

Education • Non-profit • Recruitment

SNHU Careers is the careers and hiring portal for Southern New Hampshire University, a nonprofit institution focused on transforming learners’ lives. The site promotes the university’s mission-driven culture, inclusive values, employee benefits (including remote work options and paid time off), and a wide range of job categories from academics and teaching to business operations, student support, marketing, and campus roles. It encourages talent community sign-ups and highlights professional development, diversity and equity initiatives, and flexible work arrangements.

📋 Description

• Document AI system components and data flows, including prompts, context, embeddings, training data, model artifacts, outputs, and agent tool interactions • In collaboration with the AI team, identify attack surfaces, trust boundaries, and privilege transitions within AI pipelines and agent workflows and perform structured threat modeling for AI systems during design, development, and change cycles in collaboration with the AI team • In collaboration with the AI team, translate identified threats into concrete, relevant security requirements and engineering tasks • Implement technical controls informed by established AI security frameworks according to compliance requirements and AI governance guidance • Design, build, and maintain automated security testing for AI systems within CI/CD pipelines, supports testing for prompt injection, unsafe model behavior, misconfigured access, data exposure, and agent misuse • Ensure AI security controls are validated during build, deployment, and change cycles, with failures surfaced early to engineering teams • Implement technical guardrails to protect sensitive data used by AI systems • Design and operate controls for sensitive data identification, minimization, redaction, and leakage prevention • Implement and operate runtime safeguards for AI services and agent-based systems • Design security controls that balance safety, system performance, reliability, and developer usability in production of AI services • Implement and operate secure identity, secrets, and access control patterns for AI services, agents, and integrations, enforcing least privilege • Instrument AI systems to produce actionable logging, metrics, and traces

🎯 Requirements

• 5+ years of experience in IT or cybersecurity, with engineering responsibilities • 2+ years of experience securing AI/ML systems or adjacent domains with demonstrated application to AI workloads • Experience with security engineering principles, including authentication, authorization, logging, and monitoring • Experience with AI/ML concepts such as models, training data, inference pipelines, embeddings, and agent frameworks • Experience modeling data flows, trust boundaries, and attack paths in AI systems • Experience mitigating threats such as prompt injection, model poisoning, model theft, and data leakage • Experience implementing controls such as input validation, output filtering, context isolation, and abuse detection

🏖️ Benefits

• High-quality, low-deductible medical insurance • Low to no-cost dental and vision plans • 5 weeks of paid time off (plus almost a dozen paid holidays) • Employer-funded retirement • Free tuition program • Parental leave • Mental health and wellbeing resources