{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/city/ggn/"},"x-facet":{"type":"city","slug":"ggn","display":"Ggn","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0c6b3020-556"},"title":"AI Validation Associate","description":"<p>The Risk &amp; Quantitative Analysis (RQA) group at BlackRock provides independent oversight of the firm&#39;s fiduciary and enterprise risks. The AI Validation Associate will perform independent reviews of AI tools and agents used across BlackRock, including agentic systems, RAG applications, and other business workflows.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Conduct independent validation of AI usage in workflows, including testing for accuracy, efficiency of guardrails, orchestration, memory management, and token usage.</li>\n<li>Design and implement comprehensive validation strategies and test plans tailored to each AI use case.</li>\n<li>Understand tool architecture, potential vulnerabilities, and weaknesses.</li>\n<li>Assess conceptual soundness, methodology, and alignment with intended business use.</li>\n<li>Review data quality, preprocessing steps, and engineering decisions for AI use cases.</li>\n<li>Execute functional and performance tests.</li>\n<li>Evaluate performance metrics, robustness, and limitations under various scenarios.</li>\n<li>Document validation findings, provide recommendations.</li>\n<li>Stay current on emerging AI technologies, validation techniques, and regulatory developments.</li>\n<li>Communicate validation conclusions to relevant stakeholders, including escalating identified findings, risks, or gaps to senior leadership and approval committees.</li>\n<li>Collaborate with AI Engineering, Data Science, and Risk teams to enhance AI transparency and trustworthiness.</li>\n</ul>\n<p><strong>Experience, Skills, and Qualification:</strong></p>\n<ul>\n<li>3-7 years of work experience in the IT or financial industry.</li>\n<li>Degree or Advanced degree (MS, PhD) in Computer Science, Data Science, Statistics, Applied Mathematics, or related field.</li>\n<li>Strong understanding of generative AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), agentic systems, prompt engineering, tool use, and modern AI application architectures.</li>\n<li>Experience with Python and common AI development libraries and 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