Top Artificial Intelligence Jobs in Brazil

Build scalable, cloud-native enterprise software using Java, Python, Azure, Databricks, microservices, and REST APIs. Apply AI-first development practices to improve engineering productivity, automate repetitive tasks, enhance code quality, and streamline workflows. Collaborate with architects, product owners, QA, DevOps, and distributed engineering teams on architecture, design, code reviews, sprint planning, and delivery. Mentor engineers and promote technical excellence, automated testing, CI/CD, and modern DevOps practices.

Design and optimize Databricks Lakehouse architectures and scalable ETL/ELT pipelines across AWS, Azure, and GCP. Build Spark and Delta Lake workflows for structured and unstructured data, tune performance and cloud costs, and integrate MLflow for AI model operationalization. Implement CI/CD and infrastructure-as-code deployments, enforce governance and security through Unity Catalog, and collaborate with client leaders to deliver production-ready data and AI solutions.

Design, develop, and own scalable cloud-native enterprise services using Java, Python, Azure, Databricks, microservices, and REST APIs. Apply AI-first development practices to improve engineering productivity, automate repetitive tasks, increase code quality, and streamline delivery. Collaborate with architects, product owners, QA, DevOps, and global engineering teams on architecture, design, code reviews, and Agile planning. Mentor engineers and promote engineering excellence, DevOps adoption, automated testing, and modern software development practices.

Freelance English-to-Turkish localization evaluator reviewing machine-translated and AI-generated software content for accuracy, fluency, terminology, formatting, and usability. The role involves identifying translation errors, validating UI strings and technical documentation against style guides, providing quality feedback, and collaborating with localization teams. Candidates must be native Turkish linguists with strong written English, substantial IT/software translation experience, and availability within US, Canadian, or Latin American time zones.

Leads customer-facing Azure cloud architecture projects from design through production, resolving technical blockers and guiding digital transformation. Designs scalable, secure cloud-native and AI solutions, supports migrations, and collaborates with customers and partners on strategic co-development. Develops production software, CI/CD pipelines, infrastructure as code, observability, testing, and technical documentation using agile practices. Requires strong cloud, software development, DevOps, architecture, communication, and Brazilian Portuguese and English proficiency.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Build and operate scalable batch and streaming data pipelines powering AI systems. Own ingestion, storage, transformation, serving, monitoring, validation, and continuous improvement across the data lifecycle. Partner with AI engineers and researchers to translate model requirements into reliable production infrastructure, using data lakes, warehouses, relational, graph, and vector databases. Define data strategy and ensure high-quality, observable, timely data for AI models and agents.

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

Generate and optimize AI video ads using emerging generative models. Develop prompting workflows and libraries, benchmark new models, improve consistency and lip sync, apply video-editing judgment, and create performance-focused advertising content in collaboration with the product team.

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.

Design performance marketing assets, landing pages, lifecycle journeys, and conversion flows across Latin American markets. Use generative AI and automation tools to accelerate creative production, build scalable Figma systems, and maintain brand consistency. Partner with Paid Media to interpret performance data, develop hypotheses, run A/B tests, and optimize CTR, CVR, and CAC. Conduct visual QA, pilot emerging AI tools, and document scalable creative workflows.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Lead the architecture and implementation of a reproducible AI media production platform. Build and deploy modular generative pipelines (node-based and code-first), train LoRAs end-to-end, integrate control methods (ControlNet, IP-Adapter, inpainting, reference conditioning), automate QC against product references, create one-click UIs and presets for non-technical teams, and own the technical roadmap with the Design Director.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

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

Lead design and implement a scalable, secure multi-tenant SaaS using .NET and Angular. Own end-to-end feature delivery, leverage AI-assisted coding, apply DDD/CQRS/event-driven patterns, optimize data and SQL performance, mentor engineers, and maintain CI/CD, observability, and automated testing.

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.

Build and maintain end-to-end data pipelines, models, data marts, and semantic layers for marketing, client, BI, product, and AI consumers. Integrate fragmented advertising and customer data across multiple platforms and tenants, manage dbt projects, ensure data quality, optimize performance, and support client-specific modeling. Use AI-assisted development workflows, collaborate cross-functionally, and deliver reliable, AI-ready data products.

Design, build, and own AI-powered marketing automations and internal tooling using Claude and APIs. Map and simplify MarTech systems, reduce technical debt, monitor and debug workflows, handle edge cases, and validate performance with SQL. Partner cross-functionally to document and evolve robust, flexible infrastructure.

Build, test, tune, and scale SIEM and data-lake detection rules using threat intelligence, MITRE ATT&CK, and detection-as-code workflows. Investigate false positives, improve alert fidelity, collaborate with SOC, threat hunting, threat intelligence, and data engineering teams, and develop coverage for emerging threats. Use AI agents, LLM-assisted tooling, MCP, and machine-learning techniques to accelerate rule development, validation, telemetry analysis, and anomaly detection.

Build production LLM agents, multi-step workflows, MCP servers, evaluation and observability systems, and document-extraction pipelines. Architect AI-ready semantic data layers over Snowflake and dbt, develop Python ingestion and Airflow workloads, and implement retrieval, embeddings, governance, security, and reliable agent operations. Lead technical design, mentor peers, and advise clients in an embedded consulting engagement.

Lead the engineering of AI initiatives, architect stacks, prompt engineer LLMs, and mentor engineers. Work closely with cross-functional teams to deliver products from concept to production.

The Social Media & Content Operations Assistant executes content management and lead handling tasks, utilizing structured AI workflows and tools, while maintaining organization and consistency within the operations.

The role involves developing full-stack features swiftly, utilizing AI tools for coding, managing front and backend systems, and ensuring production quality through testing and CI.

As an Account Executive, you will drive growth in the LATAM market by building client relationships, optimizing sales strategies, and supporting sales deals in the renewable energy sector.