Top Artificial Intelligence Jobs in Brazil

The Director of Risk Management is responsible for leading the Internal Controls framework, overseeing risk management, compliance, and ensuring effective control environments aligned with regulatory requirements.

As a Principal Software Engineer at Toast, you will lead the design and delivery of AI-native solutions, setting engineering standards, mentoring engineers, and collaborating on technical architecture across teams.

Provide transactional legal support for sales, services, software and procurement agreements; negotiate contract terms, manage IP/privacy/risk issues, support RFPs and public-sector deals, and advise on data protection and cloud security across Brazil and LAC.

Join Artefact LatAm's Data & Consulting team to design and implement end-to-end analytics and ML solutions. Work across data collection, processing, EDA, model development and production, translate technical findings for business stakeholders, collaborate with consultants and engineers, and optimize models for performance and scalability under senior guidance.

Lead transformation of Modern Trade commercial capabilities across LATAM: upskill sales teams, optimize route-to-market and customer service, deploy sales force automation and AI-driven tools, manage bottler and distribution partnerships, and drive measurable improvements in revenue, OI, ICE, and OSA.

Lead technical direction for product development projects, ensuring mechanical designs, materials, manufacturing, simulation and validation meet performance, cost, and timeline targets. Coordinate integration, prototype builds, testing (DVT/MVT), risk assessments (DFMEA/PSRA), cost analyses, and adoption of new technologies while mentoring teams and supporting project governance and continuous improvement.

Develop and maintain full-stack applications (React/Angular front-end; Python/Node.js back-end; SQL/NoSQL databases). Gather requirements, build and integrate APIs, improve UX, performance and scalability. Participate in IoT and AI projects (Raspberry Pi, Arduino). Support project tracking, documentation, validation, and ensure compliance with corporate processes.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

Lead strategy, roadmap, and lifecycle for data products (platforms, dashboards, recommendation models, AI tools). Translate business needs into technical requirements, prioritize backlogs, ensure data quality/governance, define KPIs, and promote a data-driven culture across stakeholders.

Design, architect, and build Agentic AI proofs-of-concept and data+workflow solutions, lead customer workshops, prototype rapidly, pilot emerging technologies, and create reusable assets to scale AI-enabled automation.

Designs, develops and maintains AI-enabled software solutions with emphasis on Generative AI, LLMs and agent-based systems. Owns end-to-end delivery including architecture, coding, testing, deployment automation, monitoring, and Responsible AI practices while collaborating with cross-functional teams.

Provide customer support across channels, resolve issues, investigate root causes, log and follow up tickets, improve processes and knowledge base, use CRM, automation and AI tools, and collaborate with Product, Tech and Operations to enhance customer experience.

Provide empathetic, efficient customer support across channels; investigate root causes, resolve issues, track tickets, and improve processes. Use CRM, automation, AI tools and collaborate with Product, Technology and Operations to enhance knowledge bases and customer journeys.

Lead a B2B Customer Experience team and oversee an outsourced B2C operation to ensure quality and KPI delivery. Use AI, automation and digital tools to optimize processes, transform data and feedback into improvements, and drive continuous enhancements in SLA, CSAT, NPS, AHT and operational efficiency. Collaborate with Product, Technology, Sales and Operations to scale solutions and build robust customer journeys.

Lead and develop the B2B CX team, manage outsourced B2C operations, and drive continuous improvement using AI, automation, CRM, and data. Own customer journeys, monitor KPIs (SLA, CSAT, NPS, AHT), build processes, coordinate with Product/Tech/Commercial, and implement data-driven solutions to increase efficiency and quality.

Design, build, and productionise AI-powered features (LLMs, RAG, agents) across payments products. Develop data pipelines, model integrations, APIs, monitoring, and responsible AI guardrails. Collaborate with product, engineering, and domain experts to evaluate, benchmark, and scale reliable, secure, observable AI systems.

Join Artefact's Data & Consulting team to innovate and enhance data strategies through advanced analytics, collaborating with diverse teams to deliver solutions.

The sales executive is responsible for selling Pavilion8 software and related solutions, developing sales strategies, managing relationships, and achieving sales targets in a specified region.

Serve as the SAP PLM Product Owner to prioritize and manage the product backlog, define features and acceptance criteria, lead quarterly planning, unblock Agile teams, validate delivery quality, coordinate cross‑functional launches, and partner with stakeholders to deliver supply‑chain and PLM solutions.

Develop and adapt new business-unit digital/AI healthcare products; create commercial and thought-leadership materials; engage clients to promote IQVIA digital solutions; deepen expertise in digital transformation and AI in health; support commercial proposal development.

Support leadership by managing strategic initiatives, governance, executive communications, and operational excellence. Create C-level presentations, standardize documentation and processes, drive cross-functional alignment, and promote AI adoption to improve productivity and decision-making.

As a Staff Software Engineer at Luxury Presence, you will shape platform architecture and lead AI-powered product delivery, collaborating with teams to innovate advertising technology and systems for real estate professionals.

Collaborate with customers to implement data solutions, enhance product capabilities, develop ML models, and drive customer success through technical expertise and insights.

The role involves collaborating with customers on data integration, enhancing product architecture, and improving reinforcement learning algorithms while ensuring long-term client success.

Oversee IT operations with a focus on AI implementation and Mobile Device Management. Manage daily functions, security compliance, and optimize systems for remote work.