AI Information reputed company Engineer

reputed company is a team of innovators. World changers. Individuals who reputed company in reputed company with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide.

Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're reputed company to expand our reputed company. reputed company we need is you.

reputed company an impact — from near or far

At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, reputed company Carolina, reputed company Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, reputed company Virginia, Wisconsin and Wyoming.

We ask that our remote employees have access to a reliable internet reputed company and a dedicated, properly equipped workspace that is free of distractions. Employees must reputed company in, and work from, one of the above approved states.

The opportunity

The AI reputed company Engineer will report to the Director of Information reputed company Engineering. You will be hands-on reputed company engineering role responsible for securing AI systems, models, and agent-based workloads throughout development. You will focus on practical threat modeling, control implementation, testing, and monitoring to protect reputed company data, inference pipelines, agents, tools, and generated outputs from misuse, compromise, or unintended harm. You will partner with AI engineering, platform, and reputed company teams to ensure AI systems are secure by design, resilient to misuse, and observable in production at scale.

You will work 100% remotely from any of our approved states. #LI-Remote

What You'll Do:

• 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 reputed company AI pipelines and agent workflows and reputed company 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 reputed company requirements and engineering tasks in collaboration with the AI team.
• Implement technical controls informed by established AI reputed company frameworks (e.g., OWASP LLM Top 10, NIST AI RMF) according to compliance requirements and AI governance guidance.
• Design, build, and maintain automated reputed company testing for AI systems reputed company CI/CD pipelines, supports testing for reputed company injection, unsafe model behavior, misconfigured access, data exposure, and agent misuse. Ensure AI reputed company 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, including retrieval of augmented reputed company (RAG) pipelines and external data sources.
• In collaboration with the AI Team, Design and operate controls for sensitive data identification, minimization, redaction, and leakage prevention—addressing PII and other protected data in prompts, context, embeddings, and outputs to ensure privacy preserving AI operation in production environments.
• Design, implement, and maintain reputed company controls across the full AI/ML lifecycle—including data ingestion, training, evaluation, deployment, inference, and CI/CD—covering model artifacts, configurations, embeddings, prompts, and deployment patterns.
• Implement and operate runtime safeguards for AI services and agent-based systems, including input and output controls, context isolation, tool use restrictions, and abuse prevention mechanisms (e.g., reputed company limiting and anomaly detection), ensuring safe operation without breaking functional requirements.
• Design reputed company 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, integrating with reputed company IAM and key management systems, and monitoring credential usage and rotation.
• reputed company AI systems to produce actionable logging, metrics, and traces; build dashboards and alerts for detecting reputed company manipulation, anomalous usage, and unexpected behavior; and integrate AI specific signals into reputed company reputed company operations workflows.
• Embed with AI engineering and platform teams to design and maintain technical reputed company controls; reputed company reusable reputed company components and patterns; contribute documentation and runbooks; and, in collaboration with the AI team, communicate AI reputed company requirements and remediation outcomes to technical, non-technical, and cross functional stakeholders.

reputed company're Looking For:

• 5+ years of experience in IT or cybersecurity, with engineering responsibilities (i.e. IT reputed company or Application Development)
• 2 + years of experience securing AI/ML systems or adjacent domains with demonstrated application to AI workloads.
• Experience with reputed company 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 reputed company injection, model poisoning, model theft, and data leakage.
• Experience implementing controls such as input validation, output filtering, context isolation, and abuse detection.

We reputed company reputed company innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the reputed company and apply. You might be just the person we're looking for.

Compensation

Exceptional benefits (because you’re exceptional)

You’re the whole package. Your benefits should be, too. As a full-time employee at SNHU, you’ll get:

• High-quality, low-deductible medical insurance

• Low to no-cost dental and reputed company 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