Top Artificial Intelligence Jobs in Brazil

Reviews, drafts, negotiates, and manages commercial contracts across Brazil and LATAM. Identifies and escalates legal risks, supports Sales and Alliances, develops contract frameworks for SaaS and emerging technologies, manages the full contract lifecycle in CLM tools, and collaborates with Finance, Privacy, Security, Compliance, and Technology teams. The role also supports cross-border projects, process optimization, AI-enabled workflow improvements, and training on contract management systems.

Partner with strategic startup customers to ideate, prototype, deploy, and scale Generative AI applications using OpenAI’s API. Provide technical guidance, identify business opportunities, contribute to open-source resources, synthesize product and model feedback, and build relationships across the startup ecosystem while collaborating with Sales, Research, Product, and Solutions Engineering.

Leads enterprise customer engagements involving AI strategy, solution architecture, proof-of-concepts, application modernization, cloud adoption, and production deployment. Designs solutions using Microsoft Azure AI, OpenAI, Copilot, AI Agents, Power Platform, and machine learning technologies. Advises executive stakeholders, resolves implementation and governance challenges, drives technical wins and adoption, collaborates with sales and engineering teams, and provides technical thought leadership. The role requires extensive AI architecture, cloud infrastructure, technical consulting, and enterprise transformation experience.

Lead technical engagements with systems integrators and strategic customers to identify, prototype, deploy, and scale Generative AI solutions. Build OpenAI API prototypes, guide implementation, codify architectural patterns, mentor partner teams, manage senior stakeholder relationships, and provide product and research feedback. The role combines hands-on AI engineering, technical consulting, solution architecture, and partner enablement across customer industries.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Reviews and annotates short video and audio clips for AI training and evaluation. Assesses AI-generated descriptions for accuracy, relevance, and appropriateness; applies moderation guidelines; flags uncertain or inappropriate content; identifies inconsistencies; and provides concise feedback. Maintains annotation accuracy and consistency while collaborating remotely, following project instructions, and protecting confidential or sensitive data.

Own technical strategy for a portfolio of enterprise customers, guiding AI discovery, architecture, evaluation, deployment, adoption, and measurable business outcomes. Partner with executives, engineers, Sales, Product, Research, and delivery specialists to develop secure, scalable solutions using OpenAI models, APIs, Codex, and agentic systems. Lead workshops, prototypes, proofs of value, technical account planning, production readiness, and customer expansion while sharing field insights internally.

Designs, builds, and operates enterprise conversational agents, custom copilots, and agentic workflows. Integrates AI solutions with Snowflake, SharePoint, and Azure; manages CI/CD deployments and resilient cloud infrastructure; and develops Splunk-based observability, logging, and governance. Provides technical leadership to global teams and uses AI-assisted development tools to improve engineering productivity.

Create short films and videos using AI photo and video generation tools. Edit AI-generated content, develop concepts with marketing teams, maintain brand alignment, experiment with creative formats, and deliver engaging content for Tether and affiliated brands. The role requires video production and editing expertise, strong storytelling and visual composition skills, familiarity with digital marketing and social media, and the ability to manage multiple projects independently under tight deadlines.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Create and optimize AI-assisted marketing content across social media, articles, case studies, newsletters, landing pages, and visual formats. Improve visibility in AI search through GEO and AEO, monitor competitors, measure traffic and campaign performance, identify content gaps, prepare marketing reports, and explore automation opportunities. Collaborate with marketing, sales, and leadership teams in a fully remote Latin American environment.

Build AI-powered integrations, prototypes, and customer solutions using full-stack engineering, APIs, agentic architectures, and AI products. Work directly with customers to understand technical environments, identify product opportunities, implement integrations, and explain solutions to technical and non-technical stakeholders. The role requires autonomy, rapid prototyping, problem-solving, and product enablement across ambiguous, fast-moving environments.

Design, develop, evaluate, and deploy scalable AI and machine learning solutions for fraud prevention, chargeback risk, and payment risk. Build production-grade APIs, data pipelines, and services; manage CI/CD, monitoring, testing, and troubleshooting for ML systems. Collaborate with data science, engineering, MLOps, and business teams to deliver impactful solutions, while mentoring colleagues and improving AI development practices.

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.

Leads credit policy and pricing for current and new financial products. Designs experimentation agendas, applies AI to credit decisions, balances profitability with customer retention, and partners with Data, Product, Technology, Treasury, Strategy, and Growth. Initially operates as an individual contributor while building a senior credit team and developing scalable, data-driven risk structures for a marketplace ecosystem.

Own finance-focused AI workflows from definition through production and continuous improvement. Build agentic and LLM systems, RAG pipelines, integrations, evaluation frameworks, observability, confidence scoring, and audit trails for regulated financial workflows. Collaborate with product, backend engineering, customers, and finance teams while setting AI engineering standards and mentoring peers.

Designs, develops, tests, and maintains production-grade AI-enabled features and cloud microservices. Integrates LLMs, prompt workflows, and basic RAG patterns; builds evaluation and benchmarking pipelines; validates AI responses; troubleshoots production systems; and collaborates with product, data, platform, and AI teams.

Design, build, test, and maintain scalable AI application systems using LLMs, advanced RAG pipelines, and multi-agent workflows. Own evaluation and benchmarking frameworks, optimize system latency, throughput, reliability, and cost, and troubleshoot complex production environments. Lead architecture and code reviews, mentor engineers, collaborate with platform, data, AI, product, and consulting teams, and strengthen system scalability and maintainability. SAP BTP-native development and e-invoicing experience are valuable.

Own product and platform projects end to end, from requirements and architecture through implementation, testing, deployment, observability, support, and iteration. Use AI coding agents extensively, verify their output, design distributed AWS systems, maintain quality without a QA team, and collaborate with product and design. The role includes writing specifications, tests, instrumentation, incident response, feature flagging, and contributing reusable agent workflows and engineering practices.

Designs and builds production-grade ServiceNow, ERP integration, and agentic AI solutions for enterprise clients across LATAM. Leads discovery, architecture, development, testing, cutover, observability, governance, and handover. Implements ServiceNow AI Control Tower, Now Assist, AI Agents, agentic workflows, and ERP integrations with SAP, Oracle EBS, and JD Edwards. Works directly with client security, data, ERP, and business teams while delivering secure, governed, reliable solutions.

Coordinate LatAm marketing operations across CRM lifecycle management, paid media, AI-driven workflows, content strategy, and funnel analytics. Design automation and nurturing campaigns, manage LinkedIn and Google Ads, coordinate agencies, produce content, analyze performance using GA4 and Looker Studio, and make autonomous growth decisions. The role requires broad marketing experience, strong writing, CRM and automation expertise, practical AI usage, data fluency, and advanced English.

Owns the strategy, backlog, delivery, quality evaluation, and compliance alignment for enterprise AI products, including LLM applications, AI agents, and RAG implementations. Leads cross-functional teams, defines acceptance criteria and evaluation benchmarks, manages stakeholder workshops, tracks project risks and cloud costs, and ensures secure, scalable production releases.

Design and build secure enterprise applications and AI agents using React, TypeScript, Python, APIs, and MCP integrations. Develop agentic workflows with structured outputs, state management, human approvals, error recovery, authentication, RBAC, audit logging, evaluations, guardrails, tracing, and monitoring. Collaborate with domain experts and product managers, own production delivery, create reusable components, document and test code, mentor engineers, guide technical direction, and conduct technical interviews.

Design, build, and deploy production-grade generative AI systems (LLMs, RAG, agentic architectures). Develop backend services, containerized deployments, CI/CD, monitoring, prompt engineering, model tuning, and collaborate with cross-functional teams to integrate AI into enterprise systems.

Leads integrated consumer marketing programs across Brazil and Spanish-speaking LATAM. Develops insight-driven strategies, creative campaigns, product messaging, and localized global launches across paid, owned, earned, social, creator, partnership, and experiential channels. Manages cross-functional stakeholders, agencies, budgets, production, measurement, and experimentation to drive product discovery, adoption, engagement, and retention for AI products.