AI Specialist
We have received the Top Employers certification for the fourth consecutive year, being the only law firm in Latin America to be part of the official Top Employers Institute list, which recognizes companies with the best Human Resources practices in the world. Furthermore, we were recognized as Brazil Law Firm of the Year at the Chambers Awards 2026, reinforcing our technical excellence and leadership in the legal market. These results position us among the most advanced organizations in people management and reaffirm our continuous commitment to innovation, diversity, and talent development to deliver excellence solutions to our clients. Want to know more about what it's like to be part of our team? Access: Glassdoor Come be #1 MachadoMeyer!
Responsibilities and assignments
- Lead AI projects with agile practices (sprints, refinement, ceremonies, and metrics), working alongside user areas, architecture, and security.
- Translate business needs into backlog, user stories, acceptance criteria, Definition of Done, and AI capability roadmaps.
- Conception, development, and evolution of AI solutions for automation, classification, and information extraction in documents, intelligent assistants, and decision support, ensuring auditability and explainability.
- Integrate AI solutions into corporate systems (ERP, CRM, BPM, ITSM, DMS/ECM, Data Lake/House), including pipelines, versioning, and MLOps.
- Perform functional, non-functional, and performance tests; evaluate risks, biases, compliance, and security.
- Maintain updated technical, operational, and user documentation, focusing on traceability and governance.
- Conduct PoCs and experiments, defining metrics (precision, recall, robustness) and success criteria.
- Monitor and improve models in production, including tuning, incidents, releases, and continuous improvements.
- Support the adoption of solutions through training, guides, FAQs, and clarification sessions.
- Produce deliverables such as vision and architecture, prioritized backlog, acceptance criteria, test and performance reports, technical/user documentation, and implementation and change plans.
Requirements and qualifications
- Completed degree in Computing, Engineering, Data, or related areas.
- Advanced or Fluent English (mandatory).
- Mastery of AI/ML (NLP, LLMs, classification, and entity extraction) and application in documents and corporate processes.
- Experience with MLOps, data pipelines, versioning, monitoring, and model governance.
- Integration with corporate systems, APIs, connectors, automations, and vector databases.
- Prompt engineering, output evaluation, functional and non-functional testing.
- Agile methodologies (Scrum/Kanban), change management, and delivery pipelines.
- Knowledge of information security, privacy, regulatory requirements, and traceability/auditability.
- Ability for clear technical documentation aligned with corporate standards.
- Experience in AI projects applied to business areas or data/document-intensive operations.
- Clear communication, business orientation, and ease in conducting meetings.
- Analytical capacity to translate business problems into AI solutions.
- Multidisciplinary collaboration, product vision, adaptability, and focus on results.
- Organization, autonomy, and priority management.
Additional information
- Daycare Assistance.
- Gympass.
- Health Plan.
- Dental Plan.
- PPR.
- Life Insurance.
- Meal Voucher.
- Transport Voucher.