Top Artificial Intelligence Jobs in Brazil

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.

As a Sales Development Representative, you will engage B2B clients in Brazil to generate interest, schedule product demos, and develop partnerships in the renewable energy sector. Focus areas include outbound calls, trade shows, and online engagement.

The Customer Success Manager engages with B2B customers, resolves technical issues, collaborates with engineering, and enhances customer experience in the renewable energy sector.

The Account Manager will engage with B2B customers in the Mexican market, gather customer feedback, improve processes, identify upselling opportunities, and implement growth projects.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

Lead and execute the AI automation strategy, redesign processes for automation, build AI systems, and mentor a high-performing AI team, facilitating cross-functional adoption.

Transform Cursor into an engineering multiplier by optimizing AI-assisted development workflows, auditing AI-generated code, and mentoring developers on AI use in their workflow.

Build and ship agent orchestration workflows, integrations, and shared infrastructure for AI-driven growth across paid media, lifecycle, organic content, CRO, incentives, and referrals. Implement monitoring, audit logging, creative generation pipelines, and reliable integrations so domain experts can tune and operate workflows independently.

Convert raw workshops, interviews and long-form video into high-volume micro-content, sizzles, courses and high-converting landing/funnel pages using AI tools. Manage asset libraries, QA, reporting, CRM integrations and rapid revisions to meet SLAs.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Lead end-to-end design and delivery of a cloud-native, multi-tenant SaaS platform using .NET and Angular. Define architecture (DDD, CQRS, event-driven), optimize data models, implement scalable backend and frontend, leverage AI-assisted development tools, ensure CI/CD, observability, and mentor engineering teams.

The Principal AI Engineer will lead the design and deployment of AI systems, drive AI strategies, and mentor teams. They require extensive experience in building AI solutions and integrating ML with applications, alongside strong leadership skills.

The role involves generating visual concepts using AI tools, collaborating on creative projects, and enhancing design workflows while maintaining brand integrity.

Lead creative excellence at Superside, leveraging AI tools to shape branding and ads while mentoring a global creative team.

The Applied AI Researcher will design experiments, build pipelines, and advance domain-specific AI models, focusing on training, evaluation, and knowledge representation.

Lead research on domain-specific AI models, defining strategies for model lifecycle and evaluation, while mentoring senior researchers and causing impactful outcomes in various sectors.

The Senior Applied AI Researcher will lead end-to-end research projects on agentic AI, focusing on model training, multimodal systems, and mentoring junior researchers while driving rapid prototype deployment to production.

The AI Enablement Lead will design and conduct training programs to improve AI fluency within Juniper Square, focusing on tools like Claude and Cowork. Responsibilities include curriculum development, leading sessions, coaching, and measuring adoption outcomes.

As a Data Scientist, you'll work on client projects and research initiatives, utilizing machine learning and data-driven solutions to solve real-world problems and contribute to AI alignment research.

Design and build AI-powered applications, create scalable AI pipelines, and integrate AI models into applications while collaborating with teams to deliver products.

The AI Lead designs and implements AI solutions for clients, driving client relationships, monitoring success metrics, and collaborating with product teams to enhance customer journeys.

Design, build, orchestrate, and deploy production-ready AI agents and LLM-based solutions. Partner with domain experts to identify high-value use cases, redesign workflows using AI-first principles, integrate AI workflows into business infrastructure, and support internal AI enablement and training.

As a Senior AI Engineer, you will design and implement AI systems, focusing on production-grade pipelines and features for financial applications, collaborating with teams to ensure reliability and performance.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

The LATAM Commercial Productivity & AI Specialist will identify and implement AI solutions to enhance business efficiency and decision-making across the LATAM region.