Software Engineer II – AI Engineer (w skills in AI Data Privacy, Security & Governance Specialty)

Who We Are

Robert Half is seeking a Software Engineer II AI Engineertoanalyze design program debug test implement and support the privacy security and governance controls that protectgenerativeAI technologies. This role safeguards GenAI-enabled applicationsincluding LLM-powered workflows RAG pipelines plugins skills and autonomous agentsby embedding data protection security guardrails and responsibleAI governance across the development lifecycle.

This role supports SDLC documentation across all phases with a focus on data privacy security guardrails governance compliance and risk management. It alsoworkswith users to define requirements and support applications in production.

What Youll Do

• 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.

• Defineandenforceaccess controls authentication andleast-privilegepermissions 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.

What Youll Need

• 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 andleast-privilegedesign.

• 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 GCP.

• Strong communication and requirements-gathering skills.

Preferred Generative AI 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.