Top Artificial Intelligence Jobs in Brazil

Provide technical and domain expertise throughout sales cycles for ServiceNow solutions. Lead discovery workshops, product demonstrations, and technical discussions; support territory sales goals; answer customer and partner questions; inform product enhancements; share consulting best practices; monitor competitive differentiation; and support marketing events.

Lead strategic partnerships for J.P. Morgan’s Brazil Payments business. Identify, evaluate, negotiate, and execute alliances with fintechs, technology providers, ERP and treasury platforms, and digital commerce companies. Develop business cases, monitor regulatory and technology trends, build executive relationships, collaborate across product, technology, sales, legal, compliance, finance, and controls, and ensure partnerships meet governance and regulatory requirements. Focus areas include AI, Pix, Banking-as-a-Service, Open Finance, APIs, digital identity, and treasury connectivity.

Leads cross-solution technical sales strategy across Cloud and AI, Security, and AI Business Solutions. Engages executives and technical decision-makers, guides solution architecture, and leads demonstrations, pilots, and proofs of concept. Partners with sales, engineering, product, support, and partner teams to remove blockers and accelerate customer opportunities. Mentors technical sellers, scales best practices, and strengthens community capability through enablement and technical leadership without direct people management.

Leads Microsoft’s multi-industry enterprise sales organization in Brazil, engaging C-level customers and orchestrating specialists, partners, and support teams. Drives AI, Copilot, and cloud transformation initiatives, revenue growth, consumption, adoption, customer value realization, and strategic partnerships. Develops go-to-market strategies, manages executive relationships, coaches managers and sales teams, builds pipelines, and ensures long-term customer and business outcomes.

Leads full-funnel online and offline media strategy for Natura and Avon fragrance and seasonal categories. Manages significant media investments, budgets, agencies, and strategic partnerships with Google, Meta, TikTok, and offline media providers. Translates performance data into strategic decisions, develops integrated media ecosystems, drives experimentation, and collaborates with CRM, Product, and E-commerce teams to improve conversion, consumer journeys, and business growth.

Owns BI product strategy for Quote-to-Cash and Order-to-Cash financial systems. Partners with finance, sales, legal, product, and engineering teams to identify operational friction, translate business needs into BI, AI, and machine-learning opportunities, and create PRDs, roadmaps, and functional requirements. Ensures quoting, contracting, billing, revenue recognition, and commercial data are accurately represented in downstream products and dashboards.

Owns BI product strategy for Quote-to-Cash and Order-to-Cash financial systems. The role connects operational pain points with BI, AI, and machine-learning opportunities; develops PRDs, roadmaps, and business requirements; partners with finance, legal, sales, product, and engineering teams; and ensures quoting, billing, contract, revenue recognition, and commercial data are accurately represented in downstream products.

Own BI product strategy for Quote-to-Cash and Order-to-Cash processes. Partner with finance, sales, legal, product, and engineering teams to identify operational friction, define analytics and AI opportunities, author PRDs and roadmaps, and ensure quoting, contracting, billing, and revenue recognition data supports accurate downstream products and decisions.

Owns BI product strategy for Quote-to-Cash and Order-to-Cash processes. The role connects financial and operational data to business decisions, identifies BI and AI/ML opportunities, creates PRDs and roadmaps, defines business requirements, and ensures quoting, billing, contract, and revenue recognition data flows accurately into downstream products. Collaboration spans finance, sales, legal, product, FinSys, and engineering teams.

Own BI product strategy for Quote-to-Cash and Order-to-Cash financial systems. Partner with finance, sales, legal, product, and engineering teams to identify operational pain points and convert them into BI, AI, and machine learning opportunities. Create PRDs, roadmaps, and functional requirements; validate pricing, order, and contract data; and ensure quoting, billing, revenue recognition, and commercial processes are accurately represented in downstream data products.

Owns BI product strategy for Quote-to-Cash and Order-to-Cash financial systems. Partners with finance, sales, legal, product, and engineering teams to identify operational friction, define BI and AI/ML opportunities, author PRDs and roadmaps, and ensure quoting, contracting, billing, and revenue-recognition data is accurately represented in downstream products. Requires expertise in SaaS financial systems, accounting concepts, ASC 606, ERP and CPQ/CLM platforms, data validation, process mapping, and business requirements.

Own BI product strategy for Quote-to-Cash and Order-to-Cash financial systems. Partner with finance, sales, legal, product, and engineering teams to identify operational friction and translate it into BI, AI, and machine-learning opportunities. Author PRDs, roadmaps, and functional requirements; validate pricing, order, and contract data; and ensure quoting, billing, revenue recognition, and commercial processes are accurately represented in downstream data products.

Owns BI product strategy for Quote-to-Cash and Order-to-Cash financial systems. The role connects operational pain points with BI, AI, and machine-learning opportunities; develops PRDs, roadmaps, and business requirements; and ensures quoting, contracting, billing, and revenue-recognition processes are accurately represented in data products. It partners with finance, sales, legal, product, and engineering teams and requires strong accounting, process-mapping, analytics, and ERP/CPQ knowledge.

Designs and delivers secure, scalable Azure infrastructure and modernization solutions for applications, databases, SAP, hybrid environments, and AI workloads. Leads architecture sessions, implements infrastructure as code and automated pipelines, resolves technical blockers, improves workload resiliency and readiness, and partners with customer IT leaders and Microsoft teams. The role also supports proof-of-concepts, production deployments, reusable technical assets, customer adoption, and continuous modernization opportunities.

Supports Inside Sales and Supply Chain Operations by managing incoming demands, critical escalations, commercial and pricing policies, performance indicators, continuous improvement, process automation, training, governance, and cross-functional initiatives. The role requires advanced Sales Operations and Quote-to-Cash knowledge, pricing and margin expertise, ERP and CRM proficiency, data analysis, process transformation experience, and advanced English for global collaboration.

Support Microsoft customers and partners with cloud and AI adoption through technical pre-sales, solution demonstrations, cloud architecture, and delivery projects. Interns collaborate with experienced engineers, architects, specialists, customers, and partners; tailor technical messaging; identify cloud growth opportunities; contribute to secure and optimized solutions; and develop technical and business expertise through coaching, readiness materials, community sessions, and events.

Lead applied AI engineering across generative and discriminative use cases, including scalable content generation, gamification, benchmarking, analytics, and multimodal behavior classification. Own AI-first SDLC practices, MCP and ML tooling, prompting standards, application benchmarks, roadmap development, and end-to-end deployment and maintenance of AI systems. Establish engineering standards for quality, scalability, and AI-first development while collaborating closely with product and engineering leadership.

Own the full accounting cycle, including month-end close, general ledger, revenue recognition, reconciliations, AP, payroll, tax, audit readiness, forecasting, and financial reporting. Manage and develop a small accounting team, maintain accounting processes and schedules, oversee billing and collections, and improve automation using AI workflows and modern finance systems.

Owns a portfolio of U.S. client accounts, driving retention, renewals, revenue expansion, executive relationships, forecasting, commercial negotiations, and delivery alignment. The role grows accounts through engineering staffing, AI delivery, advisory, and governance services while maintaining margins and account health. It requires consultative engagement with technology executives, credibility in software delivery and enterprise AI, and fluency in SOWs, MSAs, pricing, and forecasting.

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.

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.

Leads Cloud and AI sales across Latin America and the Caribbean, managing frontline managers overseeing Azure specialists, solution engineers, and partner sales teams. Responsibilities include people leadership, strategic sales execution, executive customer engagement, business-value selling, partner ecosystem development, technical thought leadership, territory planning, performance management, and talent development. The role drives Azure customer acquisition, consumption, satisfaction, and digital transformation across the SME&C segment.

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.

Manages delinquent customer accounts, prioritizes collection actions, negotiates payment plans, monitors payment promises and overdue titles, and oversees internal, outsourced, and legal collection activities. Prepares accounts-receivable and recovery metrics such as aging, DSO, recovery rate, bad debt, and write-offs. Improves collection processes, controls, dashboards, and ERP or Salesforce automation while supporting portfolio prioritization, mentoring junior staff, and collaborating with Finance, Sales, Customer Service, Legal, and Accounting.

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.