Top Artificial Intelligence Jobs in Brazil

Design and build reproducible, containerized cloud platform challenges covering networking, IAM, observability, deployments, scalability, and disaster recovery. Develop automated validation tests, reference and defective solutions, debug environments, and document architecture and validation logic.

As an Agentic AI Solutions Architect, you will lead client engagements, design data architectures, and implement AI solutions, focusing on operational transformation and ROI.

The Agentic AI Solutions Architect leads client technical requests, designs AI-integrated data architectures, and implements automation and LLM solutions to enhance operational efficiency and ROI.

As an Agentic AI Solutions Architect, you'll lead client technical requests, design AI data architectures, implement integrations, and foster client relationships to enhance operations through AI.

As an Agentic AI Solutions Architect, you will provide technical leadership and implement solutions focused on AI and data integration for clients, ensuring measurable ROI.

As an Agentic AI Solutions Architect, you will lead client projects, design AI-driven data architectures, and implement solutions to enhance client operations with a focus on ROI.

As an Agentic AI Solutions Architect, you will lead client engagements and design AI-driven architectures, integrating data solutions and automation to enhance client operations.

The Agentic AI Solutions Architect will lead client technical requests, design AI architectures, implement automation, and ensure data integrity while focusing on client ROI and relationship building.

The Agentic AI Solutions Architect will lead client engagements, design AI-driven solutions, and implement data architecture for automation workflows, leveraging AI technologies to enhance operations.

As an Agentic AI Solutions Architect, you will lead client technical requests, design integrated data architectures, and implement AI-driven automation, ensuring measurable ROI for clients.

As an Agentic AI Solutions Architect, you will lead technical strategies for clients, design AI workflows, and implement data architectures, focusing on transforming operations using machine learning and automation.

The Agentic AI Solutions Architect will lead client technical strategies, design AI architectures, implement automation solutions, and enhance operational efficiency using LLMs.

As an Agentic AI Solutions Architect, you'll lead client technical engagements and design AI and automation architectures to improve operations, focusing on both client relations and hands-on implementation of solutions.

Design, develop, and deploy production LLM-powered applications and APIs, implement RAG and document-processing workflows (OCR + LLM), build conversational interfaces, ensure reliability and fallbacks, and collaborate with product teams.

Review and validate neuroscience research, case studies, and AI-generated content; create clear explanations, annotations, and scenario-based exercises; identify errors and inconsistencies; apply current neuroscience methods and provide structured, evidence-based feedback to improve content quality for AI training.

Review biochemical datasets, protocols, and literature to evaluate AI-generated content for scientific accuracy. Develop realistic scenarios and training materials, identify errors or missing context, provide structured, evidence-based feedback, and explain complex biochemical concepts clearly. Participate in iterative content review and validation to improve AI understanding of life science topics.

Review and validate pharmacology content, create realistic cases and structured datasets, evaluate AI-generated pharmacology responses, identify errors and missing context, provide evidence-based feedback, and translate complex pharmacological concepts into clear training materials while documenting methodology and collaborating with multidisciplinary teams.

The AI Engineer II will design and develop AI-powered platforms, enhancing internal systems and customer experiences while leading project delivery and collaborating across teams.

The AI Engineer II will lead the design and development of AI-powered platforms for marketing. Responsibilities include project ownership, integrating AI capabilities, and mentoring team members.

Lead design, build, and own AI-powered platforms and full-stack systems. Deliver end-to-end projects from discovery to production, embed AI into products and workflows, ensure reliability/security, support incidents, and mentor team members.

Design, build, and own AI-powered platforms and full-stack systems from discovery through production. Implement AI-driven features, automation, and orchestration, integrate AI into customer-facing and internal products, ensure reliability/security/auditability, support production incidents, and mentor teammates.

Enable AI on a Data 4.0 platform using Snowflake Cortex: build AI-ready and semantic data products, support metric intelligence and anomaly detection, define reusable Cortex patterns, ensure governance, and collaborate with analytics and platform teams.

Lead design and development of AI agents to ingest and analyze legacy artifacts (code, videos, docs), automate reverse-engineering of SAP Hybris integrations with ERPs, generate technical deliverables (artifact inventories, business rules), validate AI outputs with the team, and optimize discovery to reduce stakeholder interviews across Brazil and Mexico.

Evaluate AI-generated antitrust analysis for legal accuracy, build evaluation frameworks and instructions, test edge cases and jurisdictional errors, and write evaluation scripts using AI coding tools. Learn competition law from senior team members and access Concurrences' case law database.

Build and maintain RAG infrastructure for hundreds of thousands of legal documents: chunking pipelines, vector DB integration, embedding strategy, semantic search, retrieval/reranking/LLM orchestration, evaluation tooling, API components, and deployable backend services. Ship multiple features quickly and collaborate with CTO and founder on architecture and domain-driven trade-offs.