Top Artificial Intelligence Jobs in Brazil

Embed with client teams to map and redesign workflows, establish operating models, and drive AI-powered adoption. Conduct organizational diagnostics, scope engagements, and build working prototypes using LLM APIs and low-code/no-code tools to demonstrate value, align stakeholders, and support rollouts with change management and measurement frameworks.

Embed with client teams to map and redesign creative workflows, build and deploy AI-powered pipelines integrated with DAMs/CMS/marketing stacks, create proofs of concept, establish governance, and train teams to adopt scalable content production automation.

Map and redesign creative workflows, build and deploy AI-powered content pipelines integrated with DAM/CMS and marketing stacks, implement prompt/agent architectures and automation, establish governance and adoption, and deliver production-ready proofs of concept and reusable accelerators to drive measurable operational improvements.

Embed with client teams to diagnose operational friction, redesign operating models, and build AI-powered proofs of concept. Map workflows, establish governance and measurement frameworks, scope engagements, drive adoption, and deliver working prototypes to demonstrate measurable business value.

The AI/ML Engineering Manager will lead a team of ML engineers, manage client engagements, shape architecture, and drive pre-sales while ensuring team growth and performance.

As a Principal Data and AI Architect, you will design enterprise AI solutions, guide customer integration efforts, and conduct pre-sales workshops while ensuring best practices in architecture and data governance.

Lead design and governance of a semantic layer and AI capabilities for commercial and medical data in oncology. Build and prototype GenAI/RAG solutions, define guardrails, ensure compliance (HIPAA/GDPR/GxP), integrate with BI/CRM, and drive adoption through cross-functional collaboration, monitoring, and documentation.

Lead end-to-end Power BI report and dashboard development while supporting a Java/React web platform. Implement UX improvements, cloud integrations, and AI capabilities including model selection, fine-tuning, evals, and PoCs. Act as technical and strategic partner to shape product direction and improve digital experiences.

Design, develop, and deploy LLM-based AI automation solutions including MCP servers, prompt engineering, RAG pipelines, AI agents, knowledge graphs, Python backends, SQL data pipelines, and cloud integrations. Collaborate with stakeholders, lead teams, ensure security, scalability, monitoring, and enterprise alignment.

Hands-on senior engineer building cloud-native enterprise applications using Java and Python. Leverages AI to automate engineering workflows, improves developer productivity, and delivers microservices on Azure Databricks/Spark/Delta Lake. Collaborates with architects, product owners, QA, DevOps, mentors junior engineers, and participates in design, code reviews, and CI/CD practices.

Build cloud-native, AI-first enterprise software using Java and Python on Azure. Design and implement microservices and REST APIs, leverage Azure Databricks/Spark/Delta Lake, containerize with Docker and Kubernetes, apply CI/CD and DevOps, automate engineering workflows with AI, collaborate with cross-functional teams, and mentor junior engineers.

Lead development of cloud-native, AI-first enterprise applications using Java and Python. Design and build microservices, REST APIs, and data workloads on Azure/Databricks (Spark, Delta Lake). Automate engineering workflows with CI/CD, containers, and DevOps practices; mentor teammates and drive AI adoption to improve developer productivity.

Lead research and engineering for large-scale LLM and multi-modal pre-training: design architectures and tokenizers, curate massive datasets, run distributed training on thousands of GPUs, debug performance bottlenecks, and improve cross-modal alignment and efficiency.

Evaluate AI chatbots and language models in Brazilian Portuguese through structured written and voice interactions. Submit ratings, write-ups, screenshots or recordings per task SOW, pass language and technical assessments, and work flexibly as an independent contractor.

As an AI Creative Director, you'll lead creative teams, integrate AI tools into workflows, mentor members, and collaborate with brands to develop innovative strategies.

Support Central Operations by evaluating, implementing, and maintaining AI-driven automations and low-code tooling (e.g., Zapier). Build unified dashboards to track AI agent performance, drive internal adoption, document automations, run LLM evaluation/monitoring for human-in-the-loop workflows, and collaborate with product, engineering, and ops to reduce manual work and improve reporting.

Support Central Operations by evaluating, implementing, and maintaining AI agents and low/no-code automations (e.g., Zapier). Build unified dashboards to track AI agent performance, reduce manual work, document automations, run LLM evaluation/monitoring, train stakeholders, and provide feedback to align AI with business workflows.

Join an exclusive talent pool to adapt and QA Italian AI-dubbed content. Lead casting, script adaptation, and ensure high creative and technical quality across productions using AI dubbing tools.

The AI-First Full-Stack Engineer will lead full-stack development using Node.js and Next.js, integrating AI workflows and orchestrating Claude agent teams for efficient engineering processes, ensuring compliance with healthcare standards.

As a GTM Engineer / AI Engineer, you'll architect and scale systems for growth, develop AI workflows, and unify tools like Salesforce and HubSpot to enhance the customer lifecycle.

Design and build AI-driven interactive prototypes and production-ready flows using AI coding tools. Own prompt-to-pipeline solutions, validate via experiments and user research, produce high-fidelity UX in Figma, and collaborate with engineering to move prototypes to production while aligning business, design, and tech.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

Build and ship AI-native internal tools and automations using Claude Code, Next.js, Supabase, n8n and Vercel. Design agent-based workflows, prompt engineering, training materials, and integrate solutions across business systems to improve efficiency and revenue.

Design, build, and ship AI-native internal tools and automations using Claude Code, Next.js, Supabase, n8n and Vercel. Create agent-based workflows, prompt libraries, TDDs, and training materials. Integrate systems via APIs, coach teams on AI usage, and measure operational impact across the business.

Own, optimize, and stabilize production-scale data platforms: refactor schemas, improve Airflow pipelines, build and maintain dbt models, profile and tune Snowflake, implement data quality testing, and resolve production incidents end-to-end.