7 hours ago
Remote, BrazilStaff+
Responsibilities
- Lead the design and implementation of enterprise GenAI solutions in regulated environments.
- Define scalable architectures using LLMs, Retrieval-Augmented Generation, AI agents, guardrails, and model selection and routing.
- Establish evaluation, monitoring, observability, governance, offline and online testing, regression testing, and human-in-the-loop validation practices.
- Work with product, engineering, and business teams to turn complex needs into production-ready solutions.
- Develop reusable frameworks, components, templates, and best practices for adoption by multiple teams.
- Lead technical reviews, support architecture decisions, and serve as a technical reference for engineers and data scientists.
- Ensure alignment with Responsible AI, information security, compliance, and model risk requirements.
- Promote knowledge transfer and enablement for teams responsible for sustaining the solutions.
- Influence multidisciplinary teams and stakeholders without formal authority.
Requirements
- Advanced or fluent English for work in a global environment.
- Solid production experience in Machine Learning Engineering and/or LLM Engineering.
- Practical experience with Retrieval-Augmented Generation, AI agents, GenAI guardrails, model selection and routing, model evaluation, regression testing, human-in-the-loop validation, and model monitoring and observability.
- Experience with cloud environments, especially AWS and/or Databricks.
- Knowledge of model and dataset versioning, experiment tracking, and MLOps.
- Ability to influence multidisciplinary teams and stakeholders without formal authority.
- Preferred: experience with MLflow and Unity Catalog.
- Preferred: knowledge of Databricks Model Serving.
- Preferred: experience with Kubernetes, EKS, or distributed environments.
- Preferred: experience in highly regulated industries.
- Preferred: knowledge of model governance and Responsible AI frameworks.
Benefits
- Brazil-based-only position.
- People-first, inclusive culture focused on wellbeing and balancing career with personal commitments.
- Equal-opportunity and affirmative-action employer.
- Opportunities to work with advanced data and technology in a global organization.
Tech Stack
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.