Top Artificial Intelligence Jobs in Brazil

The Director of Risk Management is responsible for leading the Internal Controls framework, overseeing risk management, compliance, and ensuring effective control environments aligned with regulatory requirements.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

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.

Collaborate with customers to implement data solutions, enhance product capabilities, develop ML models, and drive customer success through technical expertise and insights.

The role involves collaborating with customers on data integration, enhancing product architecture, and improving reinforcement learning algorithms while ensuring long-term client success.

Lead IT operations across six Latin American countries, owning strategy, cloud and infrastructure, cybersecurity governance, service delivery, budgets, vendor management, and regional IT team development.

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.

This role involves leading strategic planning, product innovation, and cross-functional collaboration to enhance pharmacy analytics and drive growth initiatives for CVS Health.

Lead development and execution of an enterprise quality management system across Engineering, Maintenance, Projects, and Supply Chain. Drive supplier quality governance, risk-based supplier assurance, audits, and corrective actions. Embed quality into sourcing, contracts, and asset lifecycle processes; deliver assurance, metrics, and digital quality solutions to improve safety, reliability, and operational performance across global mining operations.

Join Artefact LatAm's Data & Consulting team to design and implement end-to-end analytics and ML solutions. Work across data collection, processing, EDA, model development and production, translate technical findings for business stakeholders, collaborate with consultants and engineers, and optimize models for performance and scalability under senior guidance.

Designs, develops and maintains AI-enabled software solutions with emphasis on Generative AI, LLMs and agent-based systems. Owns end-to-end delivery including architecture, coding, testing, deployment automation, monitoring, and Responsible AI practices while collaborating with cross-functional teams.

Lead and develop globally distributed Data and AI teams to deliver production AI, analytics, and automation solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to translate strategy into measurable delivery outcomes.

Design, build, deploy, and maintain production-ready AI and Generative AI solutions on Azure. Implement MLOps, CI/CD, IaC, containerized deployments (Docker/Kubernetes/Helm), document intelligence and RAG pipelines, monitor model lifecycle and performance, and collaborate with cross-functional teams to align solutions with business goals.

Lead a B2B Customer Experience team and oversee an outsourced B2C operation to ensure quality and KPI delivery. Use AI, automation and digital tools to optimize processes, transform data and feedback into improvements, and drive continuous enhancements in SLA, CSAT, NPS, AHT and operational efficiency. Collaborate with Product, Technology, Sales and Operations to scale solutions and build robust customer journeys.

Provide customer support across channels, resolve issues, investigate root causes, log and follow up tickets, improve processes and knowledge base, use CRM, automation and AI tools, and collaborate with Product, Tech and Operations to enhance customer experience.

Provide empathetic, efficient customer support across channels; investigate root causes, resolve issues, track tickets, and improve processes. Use CRM, automation, AI tools and collaborate with Product, Technology and Operations to enhance knowledge bases and customer journeys.

Lead and develop the B2B CX team, manage outsourced B2C operations, and drive continuous improvement using AI, automation, CRM, and data. Own customer journeys, monitor KPIs (SLA, CSAT, NPS, AHT), build processes, coordinate with Product/Tech/Commercial, and implement data-driven solutions to increase efficiency and quality.

Design, build, and productionise AI-powered features (LLMs, RAG, agents) across payments products. Develop data pipelines, model integrations, APIs, monitoring, and responsible AI guardrails. Collaborate with product, engineering, and domain experts to evaluate, benchmark, and scale reliable, secure, observable AI systems.

Develop and maintain full-stack applications (frontend and backend), integrate and maintain APIs and databases, support requirements gathering and documentation, improve UX/performance/scalability, work on IoT and AI projects, assist project tracking, and follow corporate QA, safety, and compliance standards.

Oversee IT operations with a focus on AI implementation and Mobile Device Management. Manage daily functions, security compliance, and optimize systems for remote work.

Lead customer-facing cloud and AI engagements on Azure, designing and delivering secure, scalable, AI-ready data platforms (Fabric, Databricks, Cosmos DB, Purview). Guide architecture, proofs of concept, production deployments, adoption, skilling, and cross-team coordination to drive consumption and business value.

Participate in a 14-day remote notification-sorting pilot using a Google Pixel 9+ as primary phone. Interact naturally with apps that generate notifications, complete daily 10–15 minute tasks, submit daily feedback, and follow confidentiality and project instructions. Must complete language assessment and report technical issues promptly.

The Senior AI Engineer will design, develop, and deploy machine learning models for Sezzle's financial platform, focusing on personalization, fraud detection, and credit risk assessment while leading a team and optimizing ML model lifecycles.