5 days ago
Remote, BrazilSenior
Responsibilities
- Lead the design and implementation of Responsible AI frameworks, governance policies, and safety guardrails for GenAI systems.
- Define and own AI safety evaluation pipelines covering red-teaming, adversarial robustness testing, jailbreak and prompt injection assessments, and automated safety benchmarks.
- Develop explainability and interpretability tooling for model audits, regulatory reviews, and communication of model behavior and limitations.
- Partner with risk, compliance, legal, privacy, security, product, and engineering teams to embed safety requirements into scalable GenAI solutions.
- Lead incident response, root cause analysis, post-incident reviews, and remediation playbooks for AI-related safety issues.
- Contribute to GenAI solutions for fraud detection, credit risk, customer service automation, and platform initiatives.
- Mentor junior and mid-level engineers and represent AI Safety in cross-functional forums.
Requirements
- Experience in machine learning, data science, or software engineering focused on AI safety, alignment, Responsible AI, or model governance.
- Strong Python skills and proficiency with TensorFlow, PyTorch, scikit-learn, or equivalent tooling.
- Hands-on MLOps experience, including MLflow, Kubeflow, ML CI/CD, model monitoring, versioning, and reproducible deployment practices.
- Knowledge of red-teaming, adversarial testing, fairness metrics, interpretability methods, and alignment approaches.
- Understanding of AI governance, model risk management, and regulatory expectations in financial services.
- Experience preparing documentation for audit or regulatory review is preferred.
- Advanced written and verbal English proficiency and the ability to explain complex safety concepts to non-technical audiences.
- Experience designing or running automated benchmark suites for LLMs or other GenAI systems is preferred.
- Familiarity with bias detection, harm classification, content safety tooling, or policy evaluation frameworks is preferred.
- Experience with regulated financial services use cases or model risk management is preferred.
- Experience influencing engineering standards or mentoring engineers in AI safety, Responsible AI, or production ML practices is preferred.
Benefits
- Experian promotes inclusive recruitment, professional development, and affinity groups supporting underrepresented communities.
- The employer provides workplace accommodation support for people with disabilities or other needs.
Categories
About Experian
Experian builds credit reporting, identity and fraud prevention, and data analytics software that help lenders, insurers, healthcare providers, and marketers make decisions; it also offers consumer credit monitoring and scores. The company earns via data licensing, decisioning software, and subscription services, operates in 30+ countries, is headquartered in Costa Mesa, California, and is a FTSE 100 public company listed on the London Stock Exchange (EXPN); it is one of the three major U.S. credit bureaus.