Note: The job is a remote job and is open to candidates in USA. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. They are seeking an AI Engineer to analyze, design, program, debug, test, implement, and support privacy, security, and governance controls for generative AI technologies.
Responsibilities
- Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization
- Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering
- Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management
- Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks
- Define and enforce access controls, authentication, and least-privilege permissions for AI components
- Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval
- Apply data classification, retention, and residency policies across GenAI data flows
- Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior
- Maintain audit trails and logging for plugin, skill, and agent activity
- Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act
- Provide Level II production support for security, privacy, and governance incidents
- Support incident response, including containment, escalation, and remediation
Skills
- 4+ years of experience in IT or a related field
- 2+ years of software engineering experience
- 1+ year of experience in AI security, data privacy, or governance
- Experience with AI coding agent-augmented development
- Experience with data privacy techniques, including PII detection, redaction, and anonymization
- Experience with Python, Java, C#, JavaScript, or SQL
- Experience building and securing applications
- Knowledge of cloud platforms, containers, and CI/CD practices
- Understanding of SDLC, APIs, and system architecture
- Knowledge of databases and data integration
- Understanding of LLM fundamentals and token behavior
- Knowledge of security guardrails, including prompt-injection and jailbreak defenses
- Experience governing plugins, skills, and agents, including registration and lifecycle management
- Knowledge of identity and access management, including authentication and least-privilege design
- Familiarity with AI risk frameworks, including the NIST AI RMF and OWASP LLM Top 10
- Knowledge of privacy and compliance regulations, including GDPR, CCPA, and the EU AI Act
- Experience with observability practices, including logging, tracing, and audit trails
- Experience with Azure, AWS, or Google Cloud Platform
- Strong communication and requirements-gathering skills
- Experience with AI governance platforms and policy-as-code frameworks
- Experience with secrets management, encryption, and data loss prevention (DLP)
- Experience with red-teaming and adversarial testing of LLM applications
- Experience designing agent guardrails, including tool sandboxing and action approval
- Experience with content moderation and output safety filtering
- Experience with security incident handling, including containment and forensics
Benefits
- Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance.
- Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan.
Company Overview