9 hours ago
Remote, BrazilSenior
Responsibilities
- Lead the design and implementation of Responsible AI frameworks, governance policies, and safety guardrails for GenAI systems.
- Own AI safety evaluation pipelines covering red-teaming, adversarial robustness, 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 and root-cause analysis for AI safety issues, including post-incident reviews and remediation playbooks.
- Contribute to GenAI-powered 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 ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent tooling.
- Hands-on MLOps experience with model monitoring, versioning, reproducible deployment practices, and tools such as MLflow and Kubeflow.
- 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.
- Strong written and verbal English communication skills, including 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 such as fraud detection, credit risk, customer service automation, 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
- The company promotes inclusive recruitment and professional development initiatives, including affinity groups supporting LGBTQIAPN+ employees, racial equity, gender equity, people with disabilities, and multiple generations.
- Experian is an equal opportunity and affirmative action employer and provides disability-related workplace accommodations.
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.