Associate, AI Model Validation, RQA
BlackRock (company site, opens in a new tab)3–7 yrsGurugramOn-siteDirect career pageEst. 18–35 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Perform independent validation of AI tools and agentic systems used across BlackRock, focusing on accuracy, efficiency, and risk management.
- Design and execute validation strategies and test plans tailored to AI use cases including assessment of architecture, data quality, performance, and security risks.
- Communicate validation outcomes to stakeholders, escalate risks, and collaborate with AI Engineering, Data Science, and Risk teams to improve AI transparency and trustworthiness.
Minimum Requirements
- 3-7 years of work experience in IT or financial industry.
- Degree or advanced degree (MS, PhD) in Computer Science, Data Science, Statistics, Applied Mathematics, or related field.
- Strong technical expertise in generative AI technologies (LLMs, RAG, agentic systems), Python, and AI frameworks like PyTorch or TensorFlow.
- Role based onsite at the Gurgaon (GGN) office; ability to work onsite 4 days per week as per hybrid work policy.
Ideal Candidate Profile
- Experienced in validating large language models and AI applications in business contexts, including development of evaluation methodologies and performance benchmarks.
- Skilled at independently assessing AI system robustness, vulnerabilities, and operational controls with strong risk management orientation.
- Able to effectively communicate technical findings and challenge stakeholders to ensure AI quality, security, and compliance with responsible AI practices.