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AI and Agentic AI Risk Management Senior Specialist
AI / ML Engineer
• On-site
• Full-time
• 📍 USA
A senior, hands-on role where you'll build and enhance Nubank's model risk management framework for AI and Agentic AI systems, perform independent technical assessments, and shape the guardrails that keep them safe to use.
Responsibilities
- ▹Build and continuously enhance the risk management framework for AI and Agentic AI systems (inventory, assessment methodology, control design, issue management)
- ▹Inventory and map Nubank's AI use cases to surface the most critical risks and gaps
- ▹Perform independent technical assessments of generative AI and agentic workflows: data, assumptions, methodology, testing, behavior, monitoring
- ▹Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, and hallucination risk
- ▹Build Key Risk Indicators (KRIs) and continuous monitoring metrics
- ▹Advise first-line teams on AI platform architecture and embedded controls, report risk status to senior managers and regulators
Requirements
- ▹Bachelor's or master's degree in a quantitative field (computer science, data science, statistics, mathematics, engineering, or related)
- ▹Hands-on AI/ML experience: a track record developing or validating AI/ML systems, ideally moving from an AI/ML engineering background into model risk
- ▹Strong technical foundations: Python, SQL, and modern ML tooling; familiarity with LLMs, RAG systems, prompt engineering, and AI agent frameworks
- ▹Evaluation and testing experience: evaluating ML and generative AI systems, custom evals, benchmarking, stress testing, drift monitoring
- ▹Risk management experience: risk identification, control definition, framework building, model risk governance principles
- ▹Data skills: working with large datasets, building dashboards and analyses
Nice to have
- ▹Experience in a 2nd or 3rd line of defense
- ▹Familiarity with regulatory Model Risk Management and AI frameworks (e.g., SR 11-7/SR 26-2, OCC 2011-12, NIST AI RMF, EU AI Act)
Soft skills
High agency and adaptability in ambiguous situationsInfluencing and aligning stakeholders across first and second lines of defenseStrong written and verbal communication for both data scientists and regulatorsCredible technical peer to engineering and AI development teams
What we offer
- ▹Opportunity of earning equity
- ▹Medical, dental, and vision insurance
- ▹Life insurance and AD&D
- ▹Extended maternity and paternity leave
- ▹Nucleo, NuLanguage, NuCare internal programs
- ▹401K plan, HSA/FSA, work-from-home allowance, relocation assistance if applicable
About the company
Nu (Nubank) is Latin America's leading digital bank, serving more than 122 million customers across Brazil, Mexico, and Colombia, and relies heavily on data, machine learning, and generative/agentic AI to drive its strategy.
Languages: Advanced English
Education: Bachelor's or master's degree in a quantitative field (computer science, data science, statistics, mathematics, engineering, or related)
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