<p>obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
<p>Our client, a leading financial institution, is seeking a <strong>Financial Crimes Analyst</strong> to support a <strong>special project</strong> focused on <strong>fraud detection, transaction monitoring, AML compliance, and customer risk review</strong>. This role will be responsible for reviewing potentially suspicious activity, investigating fraud alerts, performing KYC and due diligence activities, and helping ensure compliance with <strong>BSA/AML regulatory requirements</strong> and internal financial crimes policies. This is a HYBRID role. </p><p> </p><p>The ideal candidate will have experience in <strong>fraud operations, AML investigations, KYC/CDD/EDD, transaction monitoring, sanctions screening, and suspicious activity review</strong> within a banking or financial services environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p> </p><ul><li>Review fraud, AML, and transaction monitoring alerts to identify unusual or suspicious activity.</li><li>Investigate flagged transactions, account activity, and customer behavior for potential fraud, money laundering, or other financial crimes concerns.</li><li>Conduct <strong>KYC, CIP, CDD, and EDD</strong> reviews for new and existing customers.</li><li>Analyze customer profiles, account history, transactional activity, and external research to assess risk.</li><li>Escalate potentially suspicious activity for case development and SAR consideration, as appropriate.</li><li>Support <strong>BSA/AML compliance efforts</strong> by adhering to regulatory requirements, internal controls, and project guidelines.</li><li>Perform sanctions and watchlist screening reviews, including OFAC-related alert handling where applicable.</li><li>Document investigations thoroughly and maintain accurate case notes in accordance with audit and regulatory standards.</li><li>Partner with compliance, fraud, operations, and risk teams to support issue resolution and case disposition.</li><li>Assist with quality control, remediation, backlog clearance, and project-based review work as needed.</li><li>Identify patterns, trends, and emerging fraud risks and escalate findings to leadership.</li><li>Ensure work is completed within required service-level expectations and productivity metrics.</li></ul><p><br></p>