Top Artificial Intelligence Jobs in Brazil

Support the AML Compliance Program by analyzing suspicious transaction alerts, conducting investigations, documenting findings, escalating cases, filing regulatory reports, developing controls and monitoring rules, building KRIs and BI dashboards, and collaborating with global teams to ensure regulatory adherence and continuous improvement.

The Specialist Research Fellows will engage in applied research and technological development, focusing on software engineering, AI, data science, and large-scale innovation challenges while requiring advanced technical expertise and problem-solving skills.

Join the Data Marketing Consulting team to execute data-driven marketing projects: deliver analytics solutions, collaborate with Activation/Creativity/Strategy, build client relationships, communicate results, research technical approaches, and contribute best practices to ensure business value for clients.

The ERP Presales Consultant leads technical-commercial engagements with clients, ensuring ERP solutions meet business needs through discovery meetings, tailored demonstrations, and solution architecture. Responsibilities also include managing proofs of concept and collaborating with internal teams for proposals and market intelligence.

Lead logistics execution across Brazil, focusing on customer satisfaction and operational excellence. Manage teams, analyze service failures, and optimize processes for cost efficiency.

Manage key accounts, drive strategic growth, deepening relationships, and increasing market share through effective sales processes and consultative selling.

The role involves optimizing procurement processes, leading complex negotiations, and engaging with stakeholders to align strategies while managing financial KPIs and risk assessments.

Develop production software and tests for LLM solutions. Design AI platforms on Kubernetes, maintain CI/CD pipelines, and monitor AI performance.

Lead the full lifecycle of digital products, develop strategic roadmaps, manage cross-functional teams, and engage with stakeholders for high-quality product delivery.

Lead design and implementation of a scalable, multi-tenant SaaS using .NET, Angular, SQL databases, and AWS. Own end-to-end feature delivery from domain modeling through frontend, backend, automated testing, CI/CD, and production support. Apply DDD, CQRS, event-driven patterns, optimize SQL and integrations, mentor engineers, and leverage AI-assisted development tools to generate production-ready code.

The role involves planning and designing AI frameworks, bridging product management and customer teams, and overseeing AI solution implementations to drive business efficiency and innovation.

The AI and Experience Orchestration Director leads engagements to enhance AI adoption in customer experience, influencing strategy while collaborating with C-level executives and sales teams.

Design and build AI-powered workflows and automations, connect systems via APIs/webhooks, prototype AI solutions with lightweight code, monitor and improve reliability, document solutions, and support cross-functional adoption and continuous improvement.

The Mid/Senior AI Cinematic Video Editor is responsible for creating narrative-driven video content using AI tools, managing the entire production process from ideation to final output, and ensuring visual coherence across AI-generated sequences.

The role involves building a scalable ML infrastructure, developing production pipelines, and optimizing model serving for computer vision applications.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

The AI Full Stack Developer will design and build AI applications using modern technologies, developing prototypes and production-ready systems while collaborating with various teams to leverage AI capabilities and enhance performance.

The role involves utilizing AI to innovate across various departments at CloudWalk, designing autonomous systems, and owning end-to-end outcomes.

Lead end-to-end design and delivery of a cloud-native, multi-tenant SaaS platform using .NET and Angular. Define architecture (DDD, CQRS, event-driven), optimize data models, implement scalable backend and frontend, leverage AI-assisted development tools, ensure CI/CD, observability, and mentor engineering teams.

Design, build, and optimize GPU-accelerated video inference pipelines for real-time safety monitoring. Implement and improve object detection and tracking (YOLO/Ultralytics), apply temporal smoothing and multi-camera aggregation, optimize inference (TensorRT, CUDA, ONNX, quantization), integrate with event-driven APIs and Azure services, and support containerized deployments, telemetry, and production monitoring.

Execute data and document onboarding, process AI-assisted workflows within SLAs, review AI outputs for quality, refine operational procedures, collaborate with customer-facing teams, and serve as an operational contact for internal and external stakeholders.

The Director of Engineering will lead the Epiq AI Labs team, focusing on hands-on engineering and team management, and will ship production code while mentoring engineers and ensuring quality standards.

As a Senior AI Engineer, you will design and implement AI systems, focusing on production-grade pipelines and features for financial applications, collaborating with teams to ensure reliability and performance.

As a Data Scientist, you'll work on client projects and research initiatives, utilizing machine learning and data-driven solutions to solve real-world problems and contribute to AI alignment research.

Design, build, and deploy bespoke AI/LLM-driven agent solutions on the Salesforce platform. Own end-to-end technical delivery: data modeling, integration, model orchestration, debugging, prototyping, and client-facing implementation to ensure scalable, secure, and high-impact deployments.